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| [FreeCoursesOnline.Me].url |
133B |
| [FreeTutorials.Eu].url |
129B |
| [FTU Forum].url |
1.34KB |
| 01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.en.vtt |
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| 01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.mp4 |
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| 01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.zh-CN.vtt |
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| 01. 01 Introduction To Attention V2-NCn97L5WbCY.en.vtt |
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| 01. 01 Introduction To Attention V2-NCn97L5WbCY.mp4 |
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| 01. 01 Introduction To Attention V2-NCn97L5WbCY.pt-BR.vtt |
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| 01. 01 Introduction To Attention V2-NCn97L5WbCY.zh-CN.vtt |
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| 01. 01 Introduction V3-uyefSrHZesY.en.vtt |
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| 01. 01 Introduction V3-uyefSrHZesY.mp4 |
5.97MB |
| 01. 01 Introduction V3-uyefSrHZesY.zh-CN.vtt |
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| 01. 01 L Introduction V3-dobNslC2y-o.en.vtt |
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| 01. 01 L Introduction V3-dobNslC2y-o.mp4 |
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| 01. 01 L Introduction V3-dobNslC2y-o.zh-CN.vtt |
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| 01. 01 Pattern Recognition V1-cX5EE1WEqhY.en.vtt |
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| 01. 01 Pattern Recognition V1-cX5EE1WEqhY.mp4 |
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| 01. 01 Pattern Recognition V1-cX5EE1WEqhY.zh-CN.vtt |
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| 01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.en.vtt |
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| 01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.mp4 |
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| 01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.zh-CN.vtt |
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| 01. 02 SLAM V1-UVkkDPJshgM.en.vtt |
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| 01. 02 SLAM V1-UVkkDPJshgM.mp4 |
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| 01. 02 SLAM V1-UVkkDPJshgM.zh-CN.vtt |
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| 01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.en.vtt |
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| 01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.mp4 |
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| 01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.zh-CN.vtt |
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| 01. C++ Vectors.html |
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| 01. CNN's and Scene Understanding.html |
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| 01. Corners and Object Detection.html |
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| 01. Course Introduction.html |
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| 01. Course Introduction-Lwc5oYApdUM.en.vtt |
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| 01. Course Introduction-Lwc5oYApdUM.mp4 |
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| 01. Course Introduction-Lwc5oYApdUM.zh-CN.vtt |
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| 01. Filters and Finding Edges.html |
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| 01. Instructor.html |
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| 01. Instructor.html |
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| 01. Intro.html |
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| 01. Intro-1sm1EbfilXI.mp4 |
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| 01. Intro-1sm1EbfilXI.zh-CN.vtt |
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| 01. Introducing Andrew Trask.html |
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| 01. Introducing Andrew Trask-ltO71Bm8b3M.mp4 |
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| 01. Introducing Andrew Trask-ltO71Bm8b3M.zh-CN.vtt |
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| 01. Introducing Jay.html |
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| 01. Introduction.html |
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| 01. Introduction.html |
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| 01. Introduction.html |
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| 01. Introduction.html |
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| 01. Introduction-4xHI5LFX-cQ.en.vtt |
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| 01. Introduction-4xHI5LFX-cQ.mp4 |
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| 01. Introduction-4xHI5LFX-cQ.zh-CN.vtt |
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| 01. Introduction-ahoiVrq4qAk.en.vtt |
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| 01. Introduction-ahoiVrq4qAk.mp4 |
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| 01. Introduction-JklGKdn3_go.en.vtt |
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| 01. Introduction-JklGKdn3_go.mp4 |
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| 01. Introduction-JklGKdn3_go.zh-CN.vtt |
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| 01. Introduction to Attention.html |
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| 01. Introduction to CNN Layers.html |
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| 01. Introduction to Compilation.html |
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| 01. Introduction To Compilation-dyzGEB8YDGg.en.vtt |
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| 01. Introduction To Compilation-dyzGEB8YDGg.mp4 |
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| 01. Introduction To Compilation-dyzGEB8YDGg.zh-CN.vtt |
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| 01. Introduction to Image Captioning.html |
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| 01. Introduction to Odometry.html |
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| 01. Introduction to SLAM.html |
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| 01. Introduction to YOLO.html |
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| 01. Introduction-ZCpXvVdIdnY.en.vtt |
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| 01. Introduction-ZCpXvVdIdnY.mp4 |
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| 01. Introduction-ZCpXvVdIdnY.pt-BR.vtt |
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| 01. Introduction-ZCpXvVdIdnY.zh-CN.vtt |
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| 01. Intro to LSTM.html |
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| 01. Intro to Pattern Recognition.html |
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| 01. Kalman Filter Land.html |
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| 01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.en.vtt |
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| 01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.mp4 |
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| 01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.zh-CN.vtt |
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| 01. Kalman Filters and Linear Algebra.html |
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| 01. Localization Steps.html |
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| 01. Localization Steps-4SiMoSTf4rQ.en.vtt |
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| 01. Localization Steps-4SiMoSTf4rQ.mp4 |
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| 01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.en.vtt |
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| 01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.mp4 |
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| 01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.zh-CN.vtt |
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| 01. Object Tracking.html |
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| 01. Object Tracking V4 (1)-ciEo6PyMTeM.en.vtt |
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| 01. Object Tracking V4 (1)-ciEo6PyMTeM.mp4 |
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| 01. Object Tracking V4 (1)-ciEo6PyMTeM.zh-CN.vtt |
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| 01. Overview.html |
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| 01. Overview.html |
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| 01. Probability Review.html |
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| 01. Project Overview.html |
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| 01. Project Overview.html |
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| 01. Project Overview-uaWZNKGTtgM.en.vtt |
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| 01. Project Overview-uaWZNKGTtgM.mp4 |
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| 01. Project Overview-uaWZNKGTtgM.zh-CN.vtt |
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| 01. RNN's in Computer Vision.html |
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| 01. Style Transfer.html |
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| 01. Types of Features.html |
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| 01. Types Of Features-cJHro29nzgg.en.vtt |
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| 01. Types Of Features-cJHro29nzgg.mp4 |
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| 01. Types Of Features-cJHro29nzgg.zh-CN.vtt |
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| 01. Welcome to the Computer Vision Nanodegree Program.html |
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| 01. 惯性导航-vWgG0d2HOVE.en.vtt |
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| 01. 惯性导航-vWgG0d2HOVE.mp4 |
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| 01. 惯性导航-vWgG0d2HOVE.zh-CN.vtt |
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| 01. 矩阵介绍-Ugx3mldc0lE.en.vtt |
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| 01. 矩阵介绍-Ugx3mldc0lE.zh-CN.vtt |
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| 02. 01 RNN Intro V6 Final-AIQEqg6F38A.en.vtt |
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| 02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4 |
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| 02. 01 RNN Intro V6 Final-AIQEqg6F38A.pt-BR.vtt |
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| 02. 01 RNN Intro V6 Final-AIQEqg6F38A.zh-CN.vtt |
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| 02. 02 Leveraging Neural Networks V3-thClOUTiNxY.en.vtt |
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| 02. 02 Leveraging Neural Networks V3-thClOUTiNxY.mp4 |
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| 02. 02 Leveraging Neural Networks V3-thClOUTiNxY.zh-CN.vtt |
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| 02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.en.vtt |
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| 02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.mp4 |
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| 02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.zh-CN.vtt |
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| 02. 02 Skin Cancer V4-70jGZeiTNgk.en.vtt |
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| 02. 02 Skin Cancer V4-70jGZeiTNgk.mp4 |
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| 02. 02 Skin Cancer V4-70jGZeiTNgk.pt-BR.vtt |
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| 02. 02 Skin Cancer V4-70jGZeiTNgk.zh-CN.vtt |
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| 02. 02 YOLO Output V2-MyOuuwk0qC4.en.vtt |
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| 02. 02 YOLO Output V2-MyOuuwk0qC4.mp4 |
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| 02. 02 YOLO Output V2-MyOuuwk0qC4.zh-CN.vtt |
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| 02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.en.vtt |
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| 02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.mp4 |
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| 02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.zh-CN.vtt |
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| 02. 05. Emotional Intelligence-D_LzJsJH5qk.en.vtt |
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| 02. 05. Emotional Intelligence-D_LzJsJH5qk.mp4 |
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| 02. 05. Emotional Intelligence-D_LzJsJH5qk.zh-CN.vtt |
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| 02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.en.vtt |
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| 02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.mp4 |
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| 02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.zh-CN.vtt |
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| 02. Andrew Trask - Intro-da1I0mea1jQ.en-US.vtt |
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| 02. Andrew Trask - Intro-da1I0mea1jQ.mp4 |
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| 02. Andrew Trask - Intro-da1I0mea1jQ.pt-BR.vtt |
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| 02. Andrew Trask - Intro-da1I0mea1jQ.zh-CN.vtt |
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| 02. Applications seq2seq-tDJBDwriJYQ.en.vtt |
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| 02. Applications seq2seq-tDJBDwriJYQ.mp4 |
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| 02. Applications seq2seq-tDJBDwriJYQ.pt-BR.vtt |
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| 02. Applications seq2seq-tDJBDwriJYQ.zh-CN.vtt |
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| 02. Architecture encoder decoder-dkHdEAJnV_w.en.vtt |
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| 02. Architecture encoder decoder-dkHdEAJnV_w.mp4 |
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| 02. Architecture encoder decoder-dkHdEAJnV_w.pt-BR.vtt |
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| 02. Architecture encoder decoder-dkHdEAJnV_w.zh-CN.vtt |
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| 02. Computer Vision in Industry.html |
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| 02. C Opt 01 L V2-Kdx1_BI5ddc.en.vtt |
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| 02. C Opt 01 L V2-Kdx1_BI5ddc.mp4 |
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| 02. C Opt 01 L V2-Kdx1_BI5ddc.zh-CN.vtt |
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| 02. Corner Detectors.html |
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| 02. Corner Detectors-jemzDq07MEI.en.vtt |
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| 02. Corner Detectors-jemzDq07MEI.mp4 |
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| 02. Corner Detectors-jemzDq07MEI.zh-CN.vtt |
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| 02. Create an AWS Account.html |
5.81KB |
| 02. DeepTraffic.html |
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| 02. Emotional Intelligence.html |
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| 02. Empathize with the Computer.html |
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| 02. Encoders and Decoders.html |
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| 02. Executing the Move Function.html |
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| 02. Feature Vectors.html |
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| 02. Feature Vectors--PF1_MITrOw.en.vtt |
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| 02. Feature Vectors--PF1_MITrOw.mp4 |
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| 02. Feature Vectors--PF1_MITrOw.zh-CN.vtt |
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| 02. Frequency in Images.html |
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| 02. Inertial Navigation Sensors.html |
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| 02. Introducing PyTorch.html |
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| 02. Introduction.html |
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| 02. Introduction.html |
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| 02. Introduction-erwnzFD7AeE.en.vtt |
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| 02. Introduction-erwnzFD7AeE.mp4 |
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| 02. Introduction-erwnzFD7AeE.pt-BR.vtt |
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| 02. Introduction-erwnzFD7AeE.zh-CN.vtt |
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| 02. Introduction-XZL934YQ-FQ.en.vtt |
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| 02. Introduction-XZL934YQ-FQ.es.vtt |
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| 02. Introduction-XZL934YQ-FQ.es-ES.vtt |
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| 02. Introduction-XZL934YQ-FQ.ja.vtt |
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| 02. Introduction-XZL934YQ-FQ.mp4 |
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| 02. Introduction-XZL934YQ-FQ.pt.vtt |
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| 02. Introduction-XZL934YQ-FQ.pt-PT.vtt |
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| 02. Introduction-XZL934YQ-FQ.ru.vtt |
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| 02. Introduction-XZL934YQ-FQ.zh-CN.vtt |
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| 02. Intro to State.html |
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| 02. Intro To State-zfilXYrW4Gk.en.vtt |
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| 02. Intro To State-zfilXYrW4Gk.mp4 |
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| 02. Intro To State-zfilXYrW4Gk.zh-CN.vtt |
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| 02. Kalman Filter Prediction.html |
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| 02. Lesson Overview.html |
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| 02. Lesson Overview C++-lR3PH3bL-9U.en.vtt |
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| 02. Lesson Overview C++-lR3PH3bL-9U.mp4 |
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| 02. Lesson Overview C++-lR3PH3bL-9U.zh-CN.vtt |
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| 02. Leveraging Neural Networks.html |
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| 02. Localization Intro.html |
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| 02. Localization V1 (1)-QkVyEMTUkAw.en.vtt |
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| 02. Localization V1 (1)-QkVyEMTUkAw.mp4 |
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| 02. Localization V1 (1)-QkVyEMTUkAw.zh-CN.vtt |
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| 02. LSTM InputsOutputs.html |
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| 02. Meet Andrew.html |
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| 02. More than Classification.html |
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| 02. Namespaces.html |
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| 02. Navegação de tráfico 3-az5ElmV4DhY.en.vtt |
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| 02. Navegação de tráfico 3-az5ElmV4DhY.en-US.vtt |
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| 02. Navegação de tráfico 3-az5ElmV4DhY.mp4 |
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| 02. Navegação de tráfico 3-az5ElmV4DhY.pt-BR.vtt |
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| 02. Navegação de tráfico 3-az5ElmV4DhY.zh-CN.vtt |
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| 02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.en.vtt |
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| 02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.zh-CN.vtt |
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| 02. Nd113 Running The Project V1--X1pB-HTdnQ.en.vtt |
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| 02. Nd113 Running The Project V1--X1pB-HTdnQ.mp4 |
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| 02. Nd113 Running The Project V1--X1pB-HTdnQ.zh-CN.vtt |
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| 02. Notebook - Two Dimensional Histogram Filter.html |
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| 02. Project Landmark Detection Tracking (SLAM).html |
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| 02. Project Walk Through.html |
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| 02. Python vs. C++.html |
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| 02. Quiz Graph SLAM.html |
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| 02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.en.vtt |
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| 02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.en.vtt |
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| 02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.mp4 |
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| 02. Reduzindo a incerteza-zuFMhmKQ--o.ar.vtt |
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| 02. Reduzindo a incerteza-zuFMhmKQ--o.zh-CN.vtt |
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| 02. Review Training a Neural Network.html |
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| 02. RNN Introduction.html |
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| 02. RNN vs LSTM.html |
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| 02. RNN Vs LSTM-70MgF-IwAr8.en.vtt |
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| 02. RNN Vs LSTM-70MgF-IwAr8.mp4 |
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| 02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt |
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| 02. Running Code Locally.html |
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| 02. Skin Cancer.html |
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| 02. Software Development and Optimization.html |
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| 02. Training Optimization.html |
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| 02. Uncertainty and Bayes' Rule.html |
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| 02. Why Fully Convolutional Networks (FCNs) .html |
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| 02. Why Neural Networks.html |
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| 02. Workspaces Best Practices.html |
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| 02. YOLO Output.html |
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| 03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.en.vtt |
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| 03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.mp4 |
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| 03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.en.vtt |
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| 03. 02 RNN History V4 Final-HbxAnYUfRnc.en.vtt |
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| 03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.en.vtt |
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| 03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.mp4 |
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| 04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.en.vtt |
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| 08. 1D Vector Playground.html |
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| 08. Answer Variance and Preferred Gaussian.html |
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| 08. Attention Encoder.html |
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| 08. Backpropagation- Theory.html |
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| 08. Basic Data Types.html |
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| 08. Bounding Boxes.html |
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| 08. Demo Binary.html |
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| 08. Exercises.html |
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| 08. Fast R-CNN.html |
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| 08. For Loops.html |
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| 08. Gradients and Sobel Filters.html |
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| 08. Images as Grids of Pixels.html |
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| 08. Lesson Outline.html |
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| 08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.en.vtt |
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| 08. Other Facets of C++ Classes.html |
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| 08. Pooling, VGG-16 Architecture.html |
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| 08. Position, Velocity, and Acceleration.html |
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| 08. Probability After Sense.html |
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| 08. Py Part 6 V1-HiTih59dCWQ.en.vtt |
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| 08. Quiz Generating Boxes and Detecting Objects.html |
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| 08. Quiz Matrix Modification.html |
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| 08. Remember Gate-0qlm86HaXuU.en.vtt |
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| 08. Remember Gate-0qlm86HaXuU.mp4 |
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| 08. RNN Hyperparameters.html |
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| 08. Saving and Loading Trained Networks.html |
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| 08. Scale and Rotation Invariance.html |
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| 08. Solution Data Challenges.html |
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| 08. Solution Find Contours and Features.html |
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| 08. The Kalman Filter Equations.html |
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| 08. The Remember Gate.html |
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| 08. Tokenizing Words.html |
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| 08. Tracking Features.html |
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| 08. Transforming Text into Numbers.html |
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| 08. Udacity Support.html |
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| 09. 06 Attention Decoder V1-5mMz6nN9_Ss.en.vtt |
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| 09. 06 Attention Decoder V1-5mMz6nN9_Ss.mp4 |
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| 09. 07 RNN Training V4-P-tHxD7kRmA.en.vtt |
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| 09. 07 Too Many Boxes V2-nYDWsFdFnQ8.en.vtt |
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| 09. 08 Faster RCNN V1 RENDER V2-ySh_Q3KTTBY.en.vtt |
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| 09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.en.vtt |
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| 09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.mp4 |
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| 09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.en.vtt |
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| 09. 2D Vectors.html |
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| 09. Always Moving.html |
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| 09. Always Moving-EQBQlHvxAQA.mp4 |
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| 09. Answer Matrix Modification.html |
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| 09. Attention Decoder.html |
6.87KB |
| 09. Backpropagation - Example (part a).html |
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| 09. Community Guidelines.html |
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| 09. Demo Binary Floats.html |
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| 09. Exercise For Loops.html |
6.96KB |
| 09. Faster R-CNN.html |
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| 09. Floating versus Double [demonstration].html |
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| 09. Gaussian Function and Maximum.html |
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| 09. Implement an Accelerometer.html |
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| 09. K-means Clustering.html |
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| 09. Loading Data Sets with Torchvision.html |
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| 09. Local Minima.html |
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| 09. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt |
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| 09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.en.vtt |
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| 09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.es-ES.vtt |
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| 09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.en.vtt |
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| 09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.mp4 |
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| 09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.zh-CN.vtt |
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| 09. Mini Project 2.html |
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| 09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.en.vtt |
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| 09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.mp4 |
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| 09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.zh-CN.vtt |
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| 09. Notebook Finding Edges.html |
7.91KB |
| 09. Notebook Image Pyramids.html |
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| 09. Notebook Images as Numerical Data.html |
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| 09. Notebook Probability After Sense.html |
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| 09. Pooling Layers.html |
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| 09. Pooling Layers-OkkIZNs7Cyc.en.vtt |
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| 09. Private and Public.html |
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| 09. PyTorch - Part 7-hFu7GTfRWks.en.vtt |
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| 09. PyTorch - Part 7-hFu7GTfRWks.mp4 |
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| 09. Regra da cadeia-YAhIBOnbt54.en.vtt |
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| 09. Regra da cadeia-YAhIBOnbt54.mp4 |
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| 09. RNN Hyperparameters.html |
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| 09. RNN Training.html |
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| 09. Semantic Segmentation-_L5gJnZrw48.en.vtt |
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| 09. Semantic Segmentation-_L5gJnZrw48.mp4 |
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| 09. Semantic Segmentation.html |
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| 09. Simplifying the Kalman Filter Equations.html |
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| 09. The Use Gate.html |
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| 09. Too Many Boxes.html |
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| 09. Training the Neural Network.html |
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| 10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.en.vtt |
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| 10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.mp4 |
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| 10. 07 Feature Matching V2-RH05Wnl1-2A.en.vtt |
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| 10. 07 Feature Matching V2-RH05Wnl1-2A.mp4 |
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| 10. 07 Feature Matching V2-RH05Wnl1-2A.zh-CN.vtt |
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| 10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.en.vtt |
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| 10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.mp4 |
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| 10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.zh-CN.vtt |
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| 10. 08 Video Captioning V1-I_m9JyKTfbQ.en.vtt |
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| 10. 08 Video Captioning V1-I_m9JyKTfbQ.mp4 |
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| 10. 08 Video Captioning V1-I_m9JyKTfbQ.zh-CN.vtt |
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| 10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.en.vtt |
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| 10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.mp4 |
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| 10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.zh-CN.vtt |
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| 10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.en.vtt |
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| 10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.en.vtt |
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| 10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.mp4 |
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| 10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.zh-CN.vtt |
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| 10. 11 Normalize Distribution V1-ZGvmFn_u56o.en.vtt |
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| 10. 11 Normalize Distribution V1-ZGvmFn_u56o.mp4 |
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| 10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.en.vtt |
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| 10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4 |
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| 10. 2D Vectors and For Loops.html |
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| 10. Attention Encoder Decoder.html |
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| 10. Backpropagation- Example (part b).html |
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| 10. Car Object.html |
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| 10. Car Object-SnfhGZ76h7Y.en.vtt |
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| 10. Car Object-SnfhGZ76h7Y.mp4 |
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| 10. Color Images.html |
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| 10. Color Images--XbXiiGQ9gw.en.vtt |
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| 10. Color Images--XbXiiGQ9gw.mp4 |
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| 10. Color Images--XbXiiGQ9gw.zh-CN.vtt |
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| 10. Detection With and Without Proposals.html |
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| 10. Differentiation Recap.html |
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| 10. Doubles are Bigger.html |
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| 10. Doubles Are Bigger-uhwTWgmM2iY.mp4 |
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| 10. Doubles Are Bigger-uhwTWgmM2iY.zh-CN.vtt |
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| 10. Feature Matching.html |
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| 10. Header Files.html |
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| 10. Intermediate Variables.html |
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| 10. Intersection over Union (IoU).html |
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| 10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.en.vtt |
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| 10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.mp4 |
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| 10. K-means Implementation.html |
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| 10. K-means Implementation-poKlg-aB4rU.en.vtt |
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| 10. K-means Implementation-poKlg-aB4rU.mp4 |
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| 10. K-means Implementation-poKlg-aB4rU.zh-CN.vtt |
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| 10. Low-pass Filters.html |
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| 10. Low-pass Filters-jy5Be9vf2rk.en.vtt |
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| 10. Low-pass Filters-jy5Be9vf2rk.mp4 |
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| 10. Low-pass Filters-jy5Be9vf2rk.zh-CN.vtt |
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| 10. Memory and the CPU.html |
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| 10. Mini Project 2 Solution.html |
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| 10. Mini Project 2 Solution-45ihpPaeO8E.mp4 |
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| 10. Moving Forward!.html |
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| 10. Moving Forward V4-E35QVmp1f2k.en.vtt |
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| 10. Moving Forward V4-E35QVmp1f2k.mp4 |
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| 10. Moving Forward V4-E35QVmp1f2k.zh-CN.vtt |
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| 10. Normalize Distribution.html |
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| 10. Notebook Visualizing a Pooling Layer.html |
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| 10. Putting it All Together.html |
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| 10. Putting It All Together-IF8FlKW-Zo0.en.vtt |
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| 10. Putting It All Together-IF8FlKW-Zo0.mp4 |
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| 10. Putting It All Together-IF8FlKW-Zo0.pt-BR.vtt |
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| 10. Putting It All Together-IF8FlKW-Zo0.zh-CN.vtt |
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| 10. Py Part 8 V1-3eqn5sgCOsY.en.vtt |
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| 10. Py Part 8 V1-3eqn5sgCOsY.mp4 |
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| 10. Py Part 8 V1-3eqn5sgCOsY.pt-BR.vtt |
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| 10. Py Part 8 V1-3eqn5sgCOsY.zh-CN.vtt |
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| 10. Quiz Random vs Pre-initialized Weights.html |
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| 10. Quiz Shifting the Mean.html |
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| 10. Quiz Untouched Fields.html |
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| 10. Random Restart.html |
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| 10. Random Restart-idyBBCzXiqg.en.vtt |
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| 10. Random Restart-idyBBCzXiqg.mp4 |
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| 10. Semantic Segmentation and FCN's.html |
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| 10. Sources References.html |
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| 10. The Rest of the Lesson.html |
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| 10. Transfer Learning.html |
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| 10. Video Captioning.html |
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| 11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.en.vtt |
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| 11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.en.vtt |
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| 11. 09 On To The Project V2-MsxNRaYTNSk.en.vtt |
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| 11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.en.vtt |
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| 11. 2D Vector Playground.html |
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| 11. Acceleration Basics.html |
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