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    Part-I-Applied-Math-and-Machine-Learning-Basics
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    5-Machine-Learning-Basics
    5-Machine-Learning-Basics
    
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    5.1-Learning-Algorithms
    
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    Part-II-Deep-Networks-Modern-Practices
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    6-Deep-Feedforward-Networks
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    Universal-approximation-theorem
    
    6.5-Back-Propagation-and-Other-Differentiation-algorithms
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    Back-Propagation
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    paper-Convolutional-Sequence-to-Sequence-Learning
    
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    10.1-Unfolding-Computational-Graphs
    
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    10.10-The-Long-Short-Term-Memory-and-Other-Gated
    
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    12-Applications
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    12.4-Natural-Language-Processing
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    12.4.5-Neural-Machine-Translation
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    paper-Bidirectional-LSTM-with-attention-mechanism-and-convolutional-layer
    
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    BERT
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    openai-GPT-2
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    openai-GPT-2
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    Introduction
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XLA: Optimizing Compiler for Machine Learning

https://www.tensorflow.org/xla

https://github.com/tensorflow/tensorflow/blob/master/tensorflow/compiler/xla/g3doc/index.md