| 1. Introduction | |||
| 1. Course content.mp4 | 79.34 MB | ||
| 2. Course materials.html | 375 B | ||
| 2. Computer vision | |||
| 1. Plan of attack.mp4 | 18.91 MB | ||
| 10. Style transfer 1.mp4 | 46.33 MB | ||
| 10.1 Source code - Google Colab.html | 146 B | ||
| 11. Style transfer 2.mp4 | 62.46 MB | ||
| 12. Style transfer 3.mp4 | 31.2 MB | ||
| 13. Image extension using GAN 1.mp4 | 56.31 MB | ||
| 13.1 Source code - Google Colab.html | 146 B | ||
| 14. Image extension using GAN 2.mp4 | 94.4 MB | ||
| 15. Action recognition 1.mp4 | 81.49 MB | ||
| 15.1 Source code - Google Colab.html | 146 B | ||
| 16. Action recognition 2.mp4 | 38.82 MB | ||
| 17. Action recognition 3.mp4 | 91.04 MB | ||
| 18. Action recognition 4.mp4 | 75.45 MB | ||
| 2. Image classification 1.mp4 | 102.92 MB | ||
| 2.1 Source code - Google Colab.html | 146 B | ||
| 3. Image classification 2.mp4 | 68.32 MB | ||
| 4. Image classification 3.mp4 | 65.23 MB | ||
| 5. Image classification 4.mp4 | 108.96 MB | ||
| 6. Image classification 5.mp4 | 85.78 MB | ||
| 7. Object detection 1.mp4 | 104.83 MB | ||
| 7.1 Source code - Google Colab.html | 146 B | ||
| 8. Object detection 2.mp4 | 43.31 MB | ||
| 9. Object detection 3.mp4 | 86.27 MB | ||
| 3. Natural language processing | |||
| 1. Plan of attack.mp4 | 7.26 MB | ||
| 10. Audio classification 1.mp4 | 65.08 MB | ||
| 10.1 Source code - Google Colab.html | 146 B | ||
| 11. Audio classification 2.mp4 | 30.48 MB | ||
| 2. Text classification 1.mp4 | 49.31 MB | ||
| 2.1 Source code - Google Colab.html | 146 B | ||
| 3. Text classification 2.mp4 | 83.6 MB | ||
| 4. Text classification 3.mp4 | 26.79 MB | ||
| 5. Q&A and information retrieval 1.mp4 | 27.73 MB | ||
| 5.1 Source code - Google Colab.html | 146 B | ||
| 6. Q&A and information retrieval 2.mp4 | 154.97 MB | ||
| 7. Q&A and information retrieval 3.mp4 | 80.43 MB | ||
| 8. Q&A and information retrieval 4.mp4 | 92.06 MB | ||
| 9. Q&A and information retrieval 5.mp4 | 88.38 MB | ||
| Download Paid Udemy Courses For Free.url | 116 B | ||
| How can you help GFC.txt | 286 B | ||
| 4. Extra content 1 Artificial neural networks | |||
| 1. Biological fundamentals.mp4 | 57.54 MB | ||
| 2. Single layer perceptron.mp4 | 54.31 MB | ||
| 3. Multilayer perceptron – sum and activation functions.mp4 | 45.77 MB | ||
| 4. Multilayer perceptron – error calculation.mp4 | 16.9 MB | ||
| 5. Gradient descent.mp4 | 43.08 MB | ||
| 6. Delta parameter.mp4 | 27.25 MB | ||
| 7. Updating weights with backpropagation.mp4 | 50.82 MB | ||
| 8. Bias, error, stochastic gradient descent, and more parameters.mp4 | 63.46 MB | ||
| 5. Extra content 2 Convolutional neural networks | |||
| 1. Introduction to convolutional neural networks.mp4 | 51.82 MB | ||
| 2. Convolutional operation.mp4 | 37.09 MB | ||
| 3. Pooling.mp4 | 23.01 MB | ||
| 4. Flattening.mp4 | 57.96 MB | ||
| 5. Dense neural network.mp4 | 40.22 MB | ||
| Download Paid Udemy Courses For Free.url | 116 B | ||
| How can you help GFC.txt | 286 B | ||
| 6. Final remarks | |||
| 1. Final remarks.mp4 | 6.67 MB | ||
| Download Paid Udemy Courses For Free.url | 116 B | ||
| How can you help GFC.txt | 286 B |
TensorFlow Hub: Deep Learning, Computer Vision and NLP
Build computer vision and natural language processing projects quickly, easily and with few lines of code!
Udemy Link - https://www.udemy.com/course/tensorflow-hub-deep-learning-computer-vision-nlp/
Please seed as much as you can!
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