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| [CourseClub.ME].url |
122б |
| [FCS Forum].url |
133б |
| [FreeCourseSite.com].url |
127б |
| 1.1 25. Face Recognition All Notebooks.tar.gz.gz |
120.75Мб |
| 1.1 Credit-Card Number Identification.zip.zip |
128.45Кб |
| 1.1 CVApiWebAPp.tar.gz.gz |
7.70Мб |
| 1.1 Download Your Deep Learning Virtual Machine HERE.html |
143б |
| 1.1 MasterOpenCV.tar.gz.gz |
47.11Мб |
| 1.2 Master Deep Learning Computer Vision Slides.pdf.pdf |
56.54Мб |
| 1.3 DeepLearningCV2.tar.gz.gz |
643.19Мб |
| 1.4 MIRROR - Download Your Deep Learning Virtual Machine HERE.html |
108б |
| 1. Basic Face Recognition using LittleVGG CNN.html |
997б |
| 1. Building a CNN in Keras.mp4 |
5.61Мб |
| 1. Building a CNN in Keras.vtt |
1.21Кб |
| 1. Chapter Introduction.mp4 |
2.90Мб |
| 1. Chapter Introduction.mp4 |
2.27Мб |
| 1. Chapter Introduction.mp4 |
1.85Мб |
| 1. Chapter Introduction.mp4 |
2.09Мб |
| 1. Chapter Introduction.mp4 |
4.57Мб |
| 1. Chapter Introduction.mp4 |
3.39Мб |
| 1. Chapter Introduction.mp4 |
2.46Мб |
| 1. Chapter Introduction.mp4 |
2.52Мб |
| 1. Chapter Introduction.mp4 |
1.50Мб |
| 1. Chapter Introduction.mp4 |
3.21Мб |
| 1. Chapter Introduction.vtt |
757б |
| 1. Chapter Introduction.vtt |
726б |
| 1. Chapter Introduction.vtt |
561б |
| 1. Chapter Introduction.vtt |
584б |
| 1. Chapter Introduction.vtt |
1.15Кб |
| 1. Chapter Introduction.vtt |
1.01Кб |
| 1. Chapter Introduction.vtt |
690б |
| 1. Chapter Introduction.vtt |
595б |
| 1. Chapter Introduction.vtt |
445б |
| 1. Chapter Introduction.vtt |
948б |
| 1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.mp4 |
2.92Мб |
| 1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.vtt |
804б |
| 1. Convolutional Neural Networks Chapter Overview.mp4 |
5.13Мб |
| 1. Convolutional Neural Networks Chapter Overview.vtt |
1.29Кб |
| 1. Course Introduction.mp4 |
90.21Мб |
| 1. Course Introduction.vtt |
13.76Кб |
| 1. Data Augmentation Chapter Overview.mp4 |
3.92Мб |
| 1. Data Augmentation Chapter Overview.vtt |
1.33Кб |
| 1. Generative Adverserial Neural Networks Chapter Overview.mp4 |
4.65Мб |
| 1. Generative Adverserial Neural Networks Chapter Overview.vtt |
1.05Кб |
| 1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.mp4 |
7.48Мб |
| 1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.vtt |
801б |
| 1. Install and Run Flask.html |
5.01Кб |
| 1. Introduction to Computer Vision & Deep Learning.mp4 |
3.12Мб |
| 1. Introduction to Computer Vision & Deep Learning.vtt |
776б |
| 1. Introduction to the Confusion Matrix & Viewing Misclassifications.mp4 |
2.54Мб |
| 1. Introduction to the Confusion Matrix & Viewing Misclassifications.vtt |
818б |
| 1. Introduction to the types of Optimizers, Learning Rates & Callbacks.mp4 |
3.42Мб |
| 1. Introduction to the types of Optimizers, Learning Rates & Callbacks.vtt |
932б |
| 1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.mp4 |
8.25Мб |
| 1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.vtt |
1.30Кб |
| 1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.mp4 |
2.76Мб |
| 1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.vtt |
773б |
| 1. Neural Networks Chapter Overview.mp4 |
7.83Мб |
| 1. Neural Networks Chapter Overview.vtt |
1.89Кб |
| 1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).mp4 |
77.40Мб |
| 1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).vtt |
12.30Кб |
| 1. Setup OpenCV.mp4 |
13.91Мб |
| 1. Setup OpenCV.vtt |
1.89Кб |
| 1. Step 1 - Creating a Credit Card Number Dataset.html |
12.30Кб |
| 1. Why use Cloud GPUs and How to Setup a PaperSpace Gradient Notebook.html |
15.03Кб |
| 10. Epochs, Iterations and Batch Sizes.mp4 |
26.08Мб |
| 10. Epochs, Iterations and Batch Sizes.vtt |
4.23Кб |
| 10. Saving and Loading Your Model.mp4 |
29.52Мб |
| 10. Saving and Loading Your Model.vtt |
3.92Кб |
| 10. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.mp4 |
11.05Мб |
| 10. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.vtt |
3.07Кб |
| 11. Displaying Your Model Visually.mp4 |
25.45Мб |
| 11. Displaying Your Model Visually.vtt |
3.77Кб |
| 11. Image Translations - Moving Images Up, Down. Left And Right.mp4 |
18.51Мб |
| 11. Image Translations - Moving Images Up, Down. Left And Right.vtt |
3.51Кб |
| 11. Measuring Performance and the Confusion Matrix.mp4 |
52.08Мб |
| 11. Measuring Performance and the Confusion Matrix.vtt |
8.48Кб |
| 12. Building a Simple Image Classifier using CIFAR10.mp4 |
74.36Мб |
| 12. Building a Simple Image Classifier using CIFAR10.vtt |
9.74Кб |
| 12. Review and Best Practices.mp4 |
27.13Мб |
| 12. Review and Best Practices.vtt |
5.35Кб |
| 12. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.mp4 |
23.09Мб |
| 12. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.vtt |
4.04Кб |
| 13. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.mp4 |
36.57Мб |
| 13. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.vtt |
5.72Кб |
| 14. Image Pyramids - Another Way of Re-Sizing.mp4 |
14.23Мб |
| 14. Image Pyramids - Another Way of Re-Sizing.vtt |
2.44Кб |
| 15. Cropping - Cut Out The Image The Regions You Want or Don't Want.mp4 |
24.11Мб |
| 15. Cropping - Cut Out The Image The Regions You Want or Don't Want.vtt |
3.38Кб |
| 16. Arithmetic Operations - Brightening and Darkening Images.mp4 |
31.09Мб |
| 16. Arithmetic Operations - Brightening and Darkening Images.vtt |
4.47Кб |
| 17. Bitwise Operations - How Image Masking Works.mp4 |
28.89Мб |
| 17. Bitwise Operations - How Image Masking Works.vtt |
4.92Кб |
| 18. Blurring - The Many Ways We Can Blur Images & Why It's Important.mp4 |
70.24Мб |
| 18. Blurring - The Many Ways We Can Blur Images & Why It's Important.vtt |
9.59Кб |
| 19. Sharpening - Reverse Your Images Blurs.mp4 |
17.33Мб |
| 19. Sharpening - Reverse Your Images Blurs.vtt |
2.34Кб |
| 2.1 AlexNet CIFAR10.zip.zip |
29.60Кб |
| 2.1 datasets.zip.zip |
65.69Мб |
| 2.1 Download the code (for those not using the Virtual Machine).html |
108б |
| 2.1 Download the YOLO files (if not using the VM).html |
108б |
| 2.1 fer2013.zip.zip |
143.26Мб |
| 2.1 vgg_face_weights.h5.tar.gz.gz |
520.71Мб |
| 2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.mp4 |
22.99Мб |
| 2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.vtt |
4.07Кб |
| 2. Build an Emotion, Facial Expression Detector.mp4 |
201.96Мб |
| 2. Build an Emotion, Facial Expression Detector.vtt |
21.98Кб |
| 2. Build LeNet and test on MNIST.mp4 |
32.13Мб |
| 2. Build LeNet and test on MNIST.vtt |
3.80Кб |
| 2. Convolutional Neural Networks Introduction.mp4 |
36.66Мб |
| 2. Convolutional Neural Networks Introduction.vtt |
6.12Кб |
| 2. DeepDream – How AI Generated Art All Started.mp4 |
83.97Мб |
| 2. DeepDream – How AI Generated Art All Started.vtt |
9.88Кб |
| 2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.mp4 |
32.33Мб |
| 2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.vtt |
5.86Кб |
| 2. Experiment with a Handwriting Classifier.mp4 |
67.30Мб |
| 2. Experiment with a Handwriting Classifier.vtt |
7.08Кб |
| 2. Face Matching with VGGFace.html |
1.07Кб |
| 2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.mp4 |
82.05Мб |
| 2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.vtt |
10.22Кб |
| 2. Introducing LittleVGG.mp4 |
11.45Мб |
| 2. Introducing LittleVGG.vtt |
1.72Кб |
| 2. Introduction To GANs.mp4 |
85.35Мб |
| 2. Introduction To GANs.vtt |
14.29Кб |
| 2. Introduction to Keras & Tensorflow.mp4 |
73.70Мб |
| 2. Introduction to Keras & Tensorflow.vtt |
15.47Кб |
| 2. Machine Learning Overview.mp4 |
52.28Мб |
| 2. Machine Learning Overview.vtt |
9.99Кб |
| 2. Object Detection Introduction - Sliding Windows with HOGs.mp4 |
51.65Мб |
| 2. Object Detection Introduction - Sliding Windows with HOGs.vtt |
6.78Кб |
| 2. Optional - Troubleshooting Guide for VM Setup & for resolving some MacOS Issues.html |
5.86Кб |
| 2. Running Your Computer Vision Web App on Flask Locally.html |
6.64Кб |
| 2. Saliency Maps & Class Activation Maps.mp4 |
64.16Мб |
| 2. Saliency Maps & Class Activation Maps.vtt |
8.01Кб |
| 2. Setting up and install Yolo DarkNet and DarkFlow.mp4 |
51.66Мб |
| 2. Setting up and install Yolo DarkNet and DarkFlow.vtt |
6.43Кб |
| 2. Splitting Data into Test and Training Datasets.mp4 |
103.83Мб |
| 2. Splitting Data into Test and Training Datasets.vtt |
12.26Кб |
| 2. Step 2 - Training Our Model.html |
4.72Кб |
| 2. TFOD API Install and Setup.mp4 |
47.57Мб |
| 2. TFOD API Install and Setup.vtt |
5.85Кб |
| 2. Train a AlexNet on PaperSpace.html |
6.89Кб |
| 2. Types Optimizers and Adaptive Learning Rate Methods.mp4 |
67.23Мб |
| 2. Types Optimizers and Adaptive Learning Rate Methods.vtt |
9.57Кб |
| 2. Understanding the Confusion Matrix.mp4 |
93.03Мб |
| 2. Understanding the Confusion Matrix.vtt |
14.18Кб |
| 2. What are Images.mp4 |
15.99Мб |
| 2. What are Images.vtt |
2.97Кб |
| 2. What is Computer Vision and What Makes it Hard.mp4 |
60.12Мб |
| 2. What is Computer Vision and What Makes it Hard.vtt |
7.45Кб |
| 2. What is Segmentation And Applications in Medical Imaging.mp4 |
29.65Мб |
| 2. What is Segmentation And Applications in Medical Imaging.vtt |
4.95Кб |
| 2. What is Transfer Learning and Fine Tuning.mp4 |
44.92Мб |
| 2. What is Transfer Learning and Fine Tuning.vtt |
8.14Кб |
| 20. Thresholding (Binarization) - Making Certain Images Areas Black or White.mp4 |
64.84Мб |
| 20. Thresholding (Binarization) - Making Certain Images Areas Black or White.vtt |
10.63Кб |
| 21. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.mp4 |
42.04Мб |
| 21. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.vtt |
6.33Кб |
| 22. Edge Detection using Image Gradients & Canny Edge Detection.mp4 |
45.66Мб |
| 22. Edge Detection using Image Gradients & Canny Edge Detection.vtt |
6.37Кб |
| 23. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.mp4 |
31.65Мб |
| 23. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.vtt |
4.90Кб |
| 24. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.mp4 |
43.78Мб |
| 24. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.vtt |
6.55Кб |
| 25. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4 |
77.42Мб |
| 25. Segmentation and Contours - Extract Defined Shapes In Your Image.vtt |
14.55Кб |
| 26. Sorting Contours - Sort Those Shapes By Size.mp4 |
106.18Мб |
| 26. Sorting Contours - Sort Those Shapes By Size.vtt |
106.20Мб |
| 27. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.mp4 |
46.95Мб |
| 27. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.vtt |
7.11Кб |
| 28. Matching Contour Shapes - Match Shapes In Images Even When Distorted.mp4 |
52.91Мб |
| 28. Matching Contour Shapes - Match Shapes In Images Even When Distorted.vtt |
6.89Кб |
| 29. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).mp4 |
47.29Мб |
| 29. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).vtt |
7.20Кб |
| 3.1 17_flowers.tar.gz.gz |
57.54Мб |
| 3.1 age-gender-estimation.tar.gz.gz |
552.20Мб |
| 3.1 simpsons.tar.gz.gz |
549.54Мб |
| 3. Advanced Initializations.mp4 |
14.96Мб |
| 3. Advanced Initializations.vtt |
3.16Кб |
| 3. Build AlexNet and test on CIFAR10.mp4 |
42.16Мб |
| 3. Build AlexNet and test on CIFAR10.vtt |
5.39Кб |
| 3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.mp4 |
135.31Мб |
| 3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.vtt |
15.11Кб |
| 3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.mp4 |
260.79Мб |
| 3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.vtt |
26.21Кб |
| 3. Building a Handwriting Recognition CNN.mp4 |
11.15Мб |
| 3. Building a Handwriting Recognition CNN.vtt |
2.21Кб |
| 3. Convolutions & Image Features.mp4 |
102.36Мб |
| 3. Convolutions & Image Features.vtt |
15.18Кб |
| 3. Experiment with a Image Classifier.mp4 |
27.30Мб |
| 3. Experiment with a Image Classifier.vtt |
3.69Кб |
| 3. Experiment with a ResNet SSD on images, webcam and videos.mp4 |
83.56Мб |
| 3. Experiment with a ResNet SSD on images, webcam and videos.vtt |
8.58Кб |
| 3. Experiment with YOLO on still images, webcam and videos.mp4 |
104.49Мб |
| 3. Experiment with YOLO on still images, webcam and videos.vtt |
10.39Кб |
| 3. Face Recognition using WebCam & Identifying Friends TV Show Characters in Video.html |
441б |
| 3. Finding and Viewing Misclassified Data.mp4 |
44.37Мб |
| 3. Finding and Viewing Misclassified Data.vtt |
7.31Кб |
| 3. How are Images Formed.mp4 |
21.26Мб |
| 3. How are Images Formed.vtt |
4.13Кб |
| 3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.mp4 |
51.15Мб |
| 3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.vtt |
8.25Кб |
| 3. Mathematics of GANs.mp4 |
27.16Мб |
| 3. Mathematics of GANs.vtt |
4.54Кб |
| 3. Neural Networks Explained.mp4 |
23.34Мб |
| 3. Neural Networks Explained.vtt |
4.80Кб |
| 3. Neural Style Transfer.mp4 |
124.76Мб |
| 3. Neural Style Transfer.vtt |
15.00Кб |
| 3. Optional - Manual Setup of Ubuntu Virtual Machine.html |
3.52Кб |
| 3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.mp4 |
8.57Мб |
| 3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.vtt |
1.38Кб |
| 3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.mp4 |
135.88Мб |
| 3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.vtt |
18.26Кб |
| 3. Running Your Computer Vision API.html |
4.79Кб |
| 3. Saliency Maps & Class Activation Maps.mp4 |
80.79Мб |
| 3. Saliency Maps & Class Activation Maps.vtt |
9.89Кб |
| 3. Simpsons Character Recognition using LittleVGG.mp4 |
99.60Мб |
| 3. Simpsons Character Recognition using LittleVGG.vtt |
10.75Кб |
| 3. Step 3 - Extracting A Credit Card from the Background.html |
7.97Кб |
| 3. Train a Cats vs. Dogs Classifier.mp4 |
44.78Мб |
| 3. Train a Cats vs. Dogs Classifier.vtt |
5.33Кб |
| 3. Understanding VGG16 and VGG19.mp4 |
14.44Мб |
| 3. Understanding VGG16 and VGG19.vtt |
2.11Кб |
| 3. U-Net Image Segmentation with CNNs.mp4 |
30.47Мб |
| 3. U-Net Image Segmentation with CNNs.vtt |
4.41Кб |
| 3. What are Images.mp4 |
58.79Мб |
| 3. What are Images.vtt |
9.29Кб |
| 30. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.mp4 |
65.69Мб |
| 30. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.vtt |
8.63Кб |
| 31. Circle Detection.html |
1.59Кб |
| 32. Blob Detection - Detect The Center of Flowers.mp4 |
32.24Мб |
| 32. Blob Detection - Detect The Center of Flowers.vtt |
4.52Кб |
| 33. Mini Project 3 - Counting Circles and Ellipses.mp4 |
51.90Мб |
| 33. Mini Project 3 - Counting Circles and Ellipses.vtt |
7.83Кб |
| 34. Object Detection Overview.mp4 |
30.81Мб |
| 34. Object Detection Overview.vtt |
4.38Кб |
| 35. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).mp4 |
25.89Мб |
| 35. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).vtt |
3.81Кб |
| 36. Feature Description Theory - How We Digitally Represent Objects.mp4 |
35.32Мб |
| 36. Feature Description Theory - How We Digitally Represent Objects.vtt |
6.46Кб |
| 37. Finding Corners - Why Corners In Images Are Important to Object Detection.mp4 |
52.08Мб |
| 37. Finding Corners - Why Corners In Images Are Important to Object Detection.vtt |
9.17Кб |
| 38. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.mp4 |
81.98Мб |
| 38. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.vtt |
10.42Кб |
| 39. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.mp4 |
43.06Мб |
| 39. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.vtt |
6.90Кб |
| 4.1 fruits-360.tar.gz.gz |
376.04Мб |
| 4.1 monkey_breed.zip.zip |
546.68Мб |
| 4. Batch Normalization.mp4 |
23.17Мб |
| 4. Batch Normalization.vtt |
3.75Кб |
| 4. Boosting Accuracy with Data Augmentation.mp4 |
43.51Мб |
| 4. Boosting Accuracy with Data Augmentation.vtt |
6.48Кб |
| 4. Build a Flower Classifier with VGG16 using Transfer Learning.mp4 |
81.96Мб |
| 4. Build a Flower Classifier with VGG16 using Transfer Learning.vtt |
81.97Мб |
| 4. Build a Fruit Classifier.mp4 |
92.95Мб |
| 4. Build a Fruit Classifier.vtt |
9.92Кб |
| 4. Build your own YOLO Object Detector - Detecting London Underground Signs.mp4 |
159.12Мб |
| 4. Build your own YOLO Object Detector - Detecting London Underground Signs.vtt |
19.00Кб |
| 4. Depth, Stride and Padding.mp4 |
46.53Мб |
| 4. Depth, Stride and Padding.vtt |
7.91Кб |
| 4. Filter Visualizations.mp4 |
89.49Мб |
| 4. Filter Visualizations.vtt |
11.68Кб |
| 4. Forward Propagation.mp4 |
63.35Мб |
| 4. Forward Propagation.vtt |
9.87Кб |
| 4. How to Train a TFOD Model.mp4 |
74.21Мб |
| 4. How to Train a TFOD Model.vtt |
10.29Кб |
| 4. Implementing GANs in Keras.mp4 |
96.36Мб |
| 4. Implementing GANs in Keras.vtt |
13.44Кб |
| 4. Intro to OpenCV, OpenVINO™ & their Limitations.mp4 |
41.46Мб |
| 4. Intro to OpenCV, OpenVINO™ & their Limitations.vtt |
8.10Кб |
| 4. Loading Our Data.mp4 |
52.93Мб |
| 4. Loading Our Data.vtt |
7.45Кб |
| 4. OpenCV Demo – Live Sketch with Webcam.mp4 |
41.17Мб |
| 4. OpenCV Demo – Live Sketch with Webcam.vtt |
4.71Кб |
| 4. Optional - Setting up a shared drive with your Host OS.html |
2.92Кб |
| 4. Popular Computer Vision Conferences & Finding Datasets.mp4 |
19.59Мб |
| 4. Popular Computer Vision Conferences & Finding Datasets.vtt |
3.10Кб |
| 4. Setting Up An AWS Account.html |
1.74Кб |
| 4. Single Shot Detectors (SSDs).mp4 |
12.46Мб |
| 4. Single Shot Detectors (SSDs).vtt |
2.40Кб |
| 4. Step 4 - Use our Model to Identify the Digits & Display it onto our Credit Card.html |
4.10Кб |
| 4. Storing Images on Computers.mp4 |
42.31Мб |
| 4. Storing Images on Computers.vtt |
5.94Кб |
| 4. The Intersection over Union (IoU) Metric.mp4 |
42.97Мб |
| 4. The Intersection over Union (IoU) Metric.vtt |
5.51Кб |
| 4. Understanding ResNet50.mp4 |
9.76Мб |
| 4. Understanding ResNet50.vtt |
1.83Кб |
| 40. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.mp4 |
89.25Мб |
| 40. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.vtt |
14.30Кб |
| 41. Mini Project 6 - Car and Pedestrian Detection in Videos.mp4 |
56.43Мб |
| 41. Mini Project 6 - Car and Pedestrian Detection in Videos.vtt |
9.16Кб |
| 5.1 fashion_mnist.tar.gz.gz |
29.45Мб |
| 5.1 GenerativeNetworks.tar.gz.gz |
116.98Мб |
| 5.1 U_NET.zip.zip |
89.95Мб |
| 5. Activation Functions.mp4 |
59.63Мб |
| 5. Activation Functions.vtt |
10.19Кб |
| 5. Build a Clothing & Apparel Classifier (Fashion MNIST).mp4 |
56.34Мб |
| 5. Build a Clothing & Apparel Classifier (Fashion MNIST).vtt |
7.32Кб |
| 5. Building a Deep Learning Machine vs. Cloud GPUs.mp4 |
28.23Мб |
| 5. Building a Deep Learning Machine vs. Cloud GPUs.vtt |
4.89Кб |
| 5. Face Aging GAN.mp4 |
46.77Мб |
| 5. Face Aging GAN.vtt |
6.46Кб |
| 5. Finding the Nuclei in Divergent Images.mp4 |
171.06Мб |
| 5. Finding the Nuclei in Divergent Images.vtt |
18.03Кб |
| 5. Getting our data in ‘Shape’.mp4 |
33.81Мб |
| 5. Getting our data in ‘Shape’.vtt |
5.10Кб |
| 5. Getting Started with OpenCV - A Brief OpenCV Intro.mp4 |
74.90Мб |
| 5. Getting Started with OpenCV - A Brief OpenCV Intro.vtt |
10.68Кб |
| 5. Heat Map Visualizations of Class Activations.mp4 |
34.21Мб |
| 5. Heat Map Visualizations of Class Activations.vtt |
4.39Кб |
| 5. ReLU.mp4 |
10.89Мб |
| 5. ReLU.vtt |
2.17Кб |
| 5. Setting Up Your AWS EC2 Instance & Installing Keras, TensorFlow, OpenCV & Flask.html |
6.88Кб |
| 5. Types of Data Augmentation.mp4 |
52.51Мб |
| 5. Types of Data Augmentation.vtt |
7.17Кб |
| 5. Understanding InceptionV3.mp4 |
14.35Мб |
| 5. Understanding InceptionV3.vtt |
3.11Кб |
| 5. YOLO to YOLOv3.mp4 |
33.09Мб |
| 5. YOLO to YOLOv3.vtt |
4.66Кб |
| 6. Changing your EC2 Security Group.html |
1.59Кб |
| 6. Grayscaling - Converting Color Images To Shades of Gray.mp4 |
15.00Мб |
| 6. Grayscaling - Converting Color Images To Shades of Gray.vtt |
2.50Кб |
| 6. Hot One Encoding.mp4 |
18.19Мб |
| 6. Hot One Encoding.vtt |
3.48Кб |
| 6. Pooling.mp4 |
28.83Мб |
| 6. Pooling.vtt |
5.65Кб |
| 6. Training Part 1 – Loss Functions.mp4 |
58.42Мб |
| 6. Training Part 1 – Loss Functions.vtt |
10.38Кб |
| 7. Building & Compiling Our Model.mp4 |
36.22Мб |
| 7. Building & Compiling Our Model.vtt |
4.78Кб |
| 7. The Fully Connected Layer.mp4 |
13.85Мб |
| 7. The Fully Connected Layer.vtt |
2.79Кб |
| 7. Training Part 2 – Backpropagation and Gradient Descent.mp4 |
72.63Мб |
| 7. Training Part 2 – Backpropagation and Gradient Descent.vtt |
11.55Кб |
| 7. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.mp4 |
106.22Мб |
| 7. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.vtt |
14.70Кб |
| 7. Using FileZilla to transfer files to your EC2 Instance.html |
4.73Кб |
| 8. Backpropagation & Learning Rates – A Worked Example.mp4 |
99.85Мб |
| 8. Backpropagation & Learning Rates – A Worked Example.vtt |
15.35Кб |
| 8. Histogram representation of Images - Visualizing the Components of Images.mp4 |
42.39Мб |
| 8. Histogram representation of Images - Visualizing the Components of Images.vtt |
5.44Кб |
| 8. Running your CV Web App on EC2.html |
2.45Кб |
| 8. Training CNNs.mp4 |
27.16Мб |
| 8. Training CNNs.vtt |
3.70Кб |
| 8. Training Our Classifier.mp4 |
40.79Мб |
| 8. Training Our Classifier.vtt |
6.12Кб |
| 9. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.mp4 |
30.97Мб |
| 9. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.vtt |
4.72Кб |
| 9. Designing Your Own CNN.mp4 |
24.25Мб |
| 9. Designing Your Own CNN.vtt |
4.65Кб |
| 9. Plotting Loss and Accuracy Charts.mp4 |
25.57Мб |
| 9. Plotting Loss and Accuracy Charts.vtt |
4.00Кб |
| 9. Regularization, Overfitting, Generalization and Test Datasets.mp4 |
118.39Мб |
| 9. Regularization, Overfitting, Generalization and Test Datasets.vtt |
18.38Кб |
| 9. Running your CV API on EC2.html |
3.13Кб |