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| [TGx]Downloaded from torrentgalaxy.to .txt |
585B |
| 0 |
1009B |
| 1 |
289.10KB |
| 1. Decision Trees - Theory.mp4 |
138.76MB |
| 1. Decision Trees - Theory.srt |
15.24KB |
| 1. Fashion Clothing Recognition.mp4 |
156.69MB |
| 1. Fashion Clothing Recognition.srt |
22.17KB |
| 1. Introduction.mp4 |
109.11MB |
| 1. Introduction.mp4 |
100.29MB |
| 1. Introduction.srt |
12.00KB |
| 1. Introduction.srt |
11.56KB |
| 1. K-Means Algorithm (Part 1).mp4 |
99.93MB |
| 1. K-Means Algorithm (Part 1).srt |
14.26KB |
| 1. What is TensorFlow 2 Preview.mp4 |
86.90MB |
| 1. What is TensorFlow 2 Preview.srt |
12.58KB |
| 10 |
157.84KB |
| 11 |
564.54KB |
| 12 |
775.31KB |
| 13 |
354.26KB |
| 14 |
149.49KB |
| 15 |
912.28KB |
| 16 |
464.97KB |
| 17 |
749.47KB |
| 18 |
996.57KB |
| 19 |
859.51KB |
| 2 |
914.00KB |
| 2. Basics of TensorFlow.mp4 |
74.42MB |
| 2. Basics of TensorFlow.srt |
11.58KB |
| 2. CIFAR 10 and CNN.mp4 |
83.59MB |
| 2. CIFAR 10 and CNN.srt |
12.72KB |
| 2. Convolution in CNN (part1).mp4 |
137.27MB |
| 2. Convolution in CNN (part1).srt |
16.54KB |
| 2. Decision Trees - Implementation.mp4 |
60.93MB |
| 2. Decision Trees - Implementation.srt |
10.10KB |
| 2. Gates and Forward Propagation.mp4 |
104.27MB |
| 2. Gates and Forward Propagation.srt |
11.96KB |
| 2. K-Means Algorithm (Part 2).mp4 |
103.16MB |
| 2. K-Means Algorithm (Part 2).srt |
12.90KB |
| 20 |
724.16KB |
| 21 |
66.69KB |
| 22 |
562.52KB |
| 23 |
37.14KB |
| 24 |
695.91KB |
| 25 |
104.98KB |
| 26 |
419.92KB |
| 27 |
926.05KB |
| 28 |
443.06KB |
| 29 |
880.21KB |
| 3 |
829.65KB |
| 3. Cats vs Dogs.mp4 |
289.51MB |
| 3. Cats vs Dogs.srt |
39.83KB |
| 3. Centroid Initialization.mp4 |
66.26MB |
| 3. Centroid Initialization.srt |
8.73KB |
| 3. Complex Decision Boundaries.mp4 |
111.65MB |
| 3. Complex Decision Boundaries.srt |
13.56KB |
| 3. Convolution in CNN (part2).mp4 |
131.71MB |
| 3. Convolution in CNN (part2).srt |
14.99KB |
| 3. Graphs.mp4 |
112.24MB |
| 3. Graphs.srt |
14.95KB |
| 3. Linear Regression - Theory.mp4 |
144.13MB |
| 3. Linear Regression - Theory.srt |
17.35KB |
| 30 |
597.79KB |
| 31 |
15.98KB |
| 32 |
760.44KB |
| 33 |
116.63KB |
| 34 |
69.48KB |
| 35 |
307.30KB |
| 36 |
781.31KB |
| 37 |
42.16KB |
| 38 |
243.19KB |
| 4 |
651.40KB |
| 4. Action Recognition.mp4 |
82.10MB |
| 4. Action Recognition.srt |
10.35KB |
| 4. Automatic Differentiation.mp4 |
77.57MB |
| 4. Automatic Differentiation.srt |
11.32KB |
| 4. Backpropagation.mp4 |
147.19MB |
| 4. Backpropagation.srt |
20.70KB |
| 4. K-Means ++.mp4 |
90.32MB |
| 4. K-Means ++.srt |
12.61KB |
| 4. Layers of CNN.mp4 |
113.85MB |
| 4. Layers of CNN.srt |
12.99KB |
| 4. Linear Regression - Implementation.mp4 |
104.03MB |
| 4. Linear Regression - Implementation.srt |
17.04KB |
| 5 |
895.90KB |
| 5. Digit Classification.mp4 |
93.96MB |
| 5. Digit Classification.srt |
11.86KB |
| 5. Gradient Descent Type and Softmax.mp4 |
62.89MB |
| 5. Gradient Descent Type and Softmax.srt |
7.75KB |
| 5. Keras and TensorFlow.mp4 |
66.98MB |
| 5. Keras and TensorFlow.srt |
7.78KB |
| 5. Logistic Regression - Theory.mp4 |
107.55MB |
| 5. Logistic Regression - Theory.srt |
11.73KB |
| 5. Number of Clusters.mp4 |
31.76MB |
| 5. Number of Clusters.srt |
4.56KB |
| 6 |
245.25KB |
| 6. Digit Classification.mp4 |
144.36MB |
| 6. Digit Classification.srt |
21.08KB |
| 6. Famous CNN Architectures.mp4 |
96.45MB |
| 6. Famous CNN Architectures.srt |
12.17KB |
| 6. Intro to Machine Learning.mp4 |
112.45MB |
| 6. Intro to Machine Learning.srt |
11.78KB |
| 6. K-Means Implementation.mp4 |
50.70MB |
| 6. K-Means Implementation.srt |
7.39KB |
| 6. Logistic Regression - Implementation.mp4 |
117.32MB |
| 6. Logistic Regression - Implementation.srt |
17.92KB |
| 7 |
743.52KB |
| 7. Overfitting and Regularization.mp4 |
76.14MB |
| 7. Overfitting and Regularization.srt |
8.99KB |
| 7. Principal Component Analysis.mp4 |
109.85MB |
| 7. Principal Component Analysis.srt |
12.60KB |
| 7. Types of Supervised Learning.mp4 |
27.57MB |
| 7. Types of Supervised Learning.srt |
3.83KB |
| 8 |
301.44KB |
| 8. Facial Recognition using PCA.mp4 |
149.11MB |
| 8. Facial Recognition using PCA.srt |
19.40KB |
| 8. Model Evaluation - Theory.mp4 |
46.24MB |
| 8. Model Evaluation - Theory.srt |
5.24KB |
| 9 |
701.16KB |
| 9. Model Evaluation - Implementation.mp4 |
32.96MB |
| 9. Model Evaluation - Implementation.srt |
3.97KB |
| TutsNode.com.txt |
63B |