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Category:
Language:
English
Total Size:
4.0 GB
Info Hash:
4C23884FB1997B62A84BC903866234F0DCD42909
Added By:
Added:
June 1, 2023, 11:11 p.m.
Stats:
|
(Last updated: May 12, 2025, 1:07 a.m.)
| File | Size |
|---|---|
| 3. Cats vs Dogs.mp4 | 289.5 MB |
| TutsNode.com.txt | 63 bytes |
| 3. Cats vs Dogs.srt | 39.8 KB |
| 1. Fashion Clothing Recognition.srt | 22.2 KB |
| 6. Digit Classification.srt | 21.1 KB |
| 4. Backpropagation.srt | 20.7 KB |
| 8. Facial Recognition using PCA.srt | 19.4 KB |
| 6. Logistic Regression - Implementation.srt | 17.9 KB |
| 3. Linear Regression - Theory.srt | 17.3 KB |
| 4. Linear Regression - Implementation.srt | 17.0 KB |
| 2. Convolution in CNN (part1).srt | 16.5 KB |
| 1. Decision Trees - Theory.srt | 15.2 KB |
| 3. Convolution in CNN (part2).srt | 15.0 KB |
| 3. Graphs.srt | 14.9 KB |
| 1. K-Means Algorithm (Part 1).srt | 14.3 KB |
| 3. Complex Decision Boundaries.srt | 13.6 KB |
| 4. Layers of CNN.srt | 13.0 KB |
| 2. K-Means Algorithm (Part 2).srt | 12.9 KB |
| 2. CIFAR 10 and CNN.srt | 12.7 KB |
| 4. K-Means ++.srt | 12.6 KB |
| 7. Principal Component Analysis.srt | 12.6 KB |
| 1. What is TensorFlow 2 Preview.srt | 12.6 KB |
| 6. Famous CNN Architectures.srt | 12.2 KB |
| 1. Introduction.srt | 12.0 KB |
| 2. Gates and Forward Propagation.srt | 12.0 KB |
| 5. Digit Classification.srt | 11.9 KB |
| 6. Intro to Machine Learning.srt | 11.8 KB |
| 5. Logistic Regression - Theory.srt | 11.7 KB |
| 2. Basics of TensorFlow.srt | 11.6 KB |
| 1. Introduction.srt | 11.6 KB |
| 4. Automatic Differentiation.srt | 11.3 KB |
| 4. Action Recognition.srt | 10.4 KB |
| 2. Decision Trees - Implementation.srt | 10.1 KB |
| 7. Overfitting and Regularization.srt | 9.0 KB |
| 3. Centroid Initialization.srt | 8.7 KB |
| 5. Keras and TensorFlow.srt | 7.8 KB |
| 5. Gradient Descent Type and Softmax.srt | 7.7 KB |
| [TGx]Downloaded from torrentgalaxy.to .txt | 585 bytes |
| 0 | 1009 bytes |
| 1. Fashion Clothing Recognition.mp4 | 156.7 MB |
| 6. K-Means Implementation.srt | 7.4 KB |
| 8. Model Evaluation - Theory.srt | 5.2 KB |
| 5. Number of Clusters.srt | 4.6 KB |
| 9. Model Evaluation - Implementation.srt | 4.0 KB |
| 7. Types of Supervised Learning.srt | 3.8 KB |
| 1 | 289.1 KB |
| 8. Facial Recognition using PCA.mp4 | 149.1 MB |
| 2 | 914.0 KB |
| 4. Backpropagation.mp4 | 147.2 MB |
| 3 | 829.6 KB |
| 6. Digit Classification.mp4 | 144.4 MB |
| 4 | 651.4 KB |
| 3. Linear Regression - Theory.mp4 | 144.1 MB |
| 5 | 895.9 KB |
| 1. Decision Trees - Theory.mp4 | 138.8 MB |
| 6 | 245.2 KB |
| 2. Convolution in CNN (part1).mp4 | 137.3 MB |
| 7 | 743.5 KB |
| 3. Convolution in CNN (part2).mp4 | 131.7 MB |
| 8 | 301.4 KB |
| 6. Logistic Regression - Implementation.mp4 | 117.3 MB |
| 9 | 701.2 KB |
| 4. Layers of CNN.mp4 | 113.8 MB |
| 10 | 157.8 KB |
| 6. Intro to Machine Learning.mp4 | 112.4 MB |
| 11 | 564.5 KB |
| 3. Graphs.mp4 | 112.2 MB |
| 12 | 775.3 KB |
| 3. Complex Decision Boundaries.mp4 | 111.7 MB |
| 13 | 354.3 KB |
| 7. Principal Component Analysis.mp4 | 109.9 MB |
| 14 | 149.5 KB |
| 1. Introduction.mp4 | 109.1 MB |
| 15 | 912.3 KB |
| 5. Logistic Regression - Theory.mp4 | 107.5 MB |
| 16 | 465.0 KB |
| 2. Gates and Forward Propagation.mp4 | 104.3 MB |
| 17 | 749.5 KB |
| 4. Linear Regression - Implementation.mp4 | 104.0 MB |
| 18 | 996.6 KB |
| 2. K-Means Algorithm (Part 2).mp4 | 103.2 MB |
| 19 | 859.5 KB |
| 1. Introduction.mp4 | 100.3 MB |
| 20 | 724.2 KB |
| 1. K-Means Algorithm (Part 1).mp4 | 99.9 MB |
| 21 | 66.7 KB |
| 6. Famous CNN Architectures.mp4 | 96.5 MB |
| 22 | 562.5 KB |
| 5. Digit Classification.mp4 | 94.0 MB |
| 23 | 37.1 KB |
| 4. K-Means ++.mp4 | 90.3 MB |
| 24 | 695.9 KB |
| 1. What is TensorFlow 2 Preview.mp4 | 86.9 MB |
| 25 | 105.0 KB |
| 2. CIFAR 10 and CNN.mp4 | 83.6 MB |
| 26 | 419.9 KB |
| 4. Action Recognition.mp4 | 82.1 MB |
| 27 | 926.1 KB |
| 4. Automatic Differentiation.mp4 | 77.6 MB |
| 28 | 443.1 KB |
| 7. Overfitting and Regularization.mp4 | 76.1 MB |
| 29 | 880.2 KB |
| 2. Basics of TensorFlow.mp4 | 74.4 MB |
| 30 | 597.8 KB |
| 5. Keras and TensorFlow.mp4 | 67.0 MB |
| 31 | 16.0 KB |
| 3. Centroid Initialization.mp4 | 66.3 MB |
| 32 | 760.4 KB |
| 5. Gradient Descent Type and Softmax.mp4 | 62.9 MB |
| 33 | 116.6 KB |
| 2. Decision Trees - Implementation.mp4 | 60.9 MB |
| 34 | 69.5 KB |
| 6. K-Means Implementation.mp4 | 50.7 MB |
| 35 | 307.3 KB |
| 8. Model Evaluation - Theory.mp4 | 46.2 MB |
| 36 | 781.3 KB |
| 9. Model Evaluation - Implementation.mp4 | 33.0 MB |
| 37 | 42.2 KB |
| 5. Number of Clusters.mp4 | 31.8 MB |
| 38 | 243.2 KB |
| 7. Types of Supervised Learning.mp4 | 27.6 MB |
Name
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Uploader
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Added
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693.1 MB
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2023-07-01
| Uploaded by FreeCourseWeb | Size 693.1 MB | Health [ 0 /0 ] | Added 2023-07-01 |
NOTE
SOURCE: Udemy - Tensorflow Tutorial: Hands-on AI development with Tensorflow
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