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Title: GitHub - astrumai/DeepLearningWithTF2.0: Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book

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Description: Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book - astrumai/DeepLearningWithTF2.0

Open Graph Description: Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book - astrumai/DeepLearningWithTF2.0

X Description: Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book - astrumai/DeepLearningWithTF2.0

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0. Indexhttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/Index.ipynb
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2. Linear Algebrahttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/02.00-Linear-Algebra.ipynb
https://patch-diff.githubusercontent.com/astrumai/DeepLearningWithTF2.0#2-linear-algebra
3. Probability and Information Theoryhttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/03.00-Probability-and-Information-Theory.ipynb
https://patch-diff.githubusercontent.com/astrumai/DeepLearningWithTF2.0#3-probability-and-information-theory
4. Numerical Computationhttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/04.00-Numerical-Computation.ipynb
https://patch-diff.githubusercontent.com/astrumai/DeepLearningWithTF2.0#4-numerical-computation
5. Machine Learning Basicshttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/05.00-Machine-Learning-Basics.ipynb
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6. Deep Feedforward Networkshttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/06.00-Deep-Feedforward-Networks.ipynb
https://patch-diff.githubusercontent.com/astrumai/DeepLearningWithTF2.0#6-deep-feedforward-networks
7. Regularization for Deep Learninghttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/07.00-Regularization-for-Deep-Learning.ipynb
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8. Optimization for Training Deep Modelshttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/08.00-Optimization-for-Training-Deep-Models.ipynb
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9. Convolutional Networkshttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/09.00-Convolutional-Networks.ipynb
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10. Sequence Modeling: Recurrent and Recursive Netshttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/10.00-Sequence-Modeling-Recurrent-and-Recursive-Nets.ipynb
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11. Practical Methodologyhttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/11.00-Practical-Methodology.ipynb
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12. Applicationshttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/12.00-Applications.ipynb
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13. Linear Factor Modelshttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/13.00-Linear-Factor-Models.ipynb
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14. Autoencodershttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/14.00-Autoencoders.ipynb
https://patch-diff.githubusercontent.com/astrumai/DeepLearningWithTF2.0#14-autoencoders
15. Representation Learninghttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/15.00-Representation-Learning.ipynb
https://patch-diff.githubusercontent.com/astrumai/DeepLearningWithTF2.0#15-representation-learning
16. Structured Probabilistic Models for Deep Learninghttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/16.00-Structured-Probabilistic-Models-for-Deep-Learning.ipynb
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17. Monte Carlo Methodshttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/17.00-Monte-Carlo-Methods.ipynb
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18. Confronting the Partition Functionhttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/18.00-Confronting-the-Partition-Function.ipynb
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19. Approximate Inferencehttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/19.00-Approximate-Inference.ipynb
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20. Deep Generative Modelshttps://nbviewer.jupyter.org/github/adhiraiyan/DeepLearningWithTF2.0/blob/master/notebooks/20.00-Deep-Generative-Models.ipynb
https://patch-diff.githubusercontent.com/astrumai/DeepLearningWithTF2.0#20-deep-generative-models
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