GitHub - minhhoai1001/dive-into-deep-learning: Summary the book Dive into deep learning

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1. Introduction.ipynb		1. Introduction.ipynb
10. Attention Mechanisms.ipynb		10. Attention Mechanisms.ipynb
11. Optimization Algorithms.ipynb		11. Optimization Algorithms.ipynb
12. Computational Performance.ipynb		12. Computational Performance.ipynb
13. Computer Vision.ipynb		13. Computer Vision.ipynb
14. Natural Language Processing - Pretraining.ipynb		14. Natural Language Processing - Pretraining.ipynb
15. Natural Language Processing- Applications.ipynb		15. Natural Language Processing- Applications.ipynb
2. Preliminaries.ipynb		2. Preliminaries.ipynb
3. Linear Neural Networks.ipynb		3. Linear Neural Networks.ipynb
4. Multilayer Perceptrons.ipynb		4. Multilayer Perceptrons.ipynb
5. Deep Learning Computation.ipynb		5. Deep Learning Computation.ipynb
6. Convolutional Neural Networks.ipynb		6. Convolutional Neural Networks.ipynb
7. Modern Convolutional Neural Networks.ipynb		7. Modern Convolutional Neural Networks.ipynb
8. Recurrent Neural Networks.ipynb		8. Recurrent Neural Networks.ipynb
9. Modern Recurrent Neural Networks.ipynb		9. Modern Recurrent Neural Networks.ipynb

minhhoai1001/dive-into-deep-learning