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Chapter 1: Getting started with tensorflow
Chapter 2: Creating a custom operation with tf.py_func (CPU only)
Chapter 3: Creating RNN, LSTM and bidirectional RNN/LSTMs with TensorFlow
Creating a bidirectional LSTM
Chapter 4: How to debug a memory leak in TensorFlow
Use Graph.finalize() to catch nodes being added to the graph
Use the tcmalloc allocator
Chapter 5: How to use TensorFlow Graph Collections?
Collect variables from nested scopes
Chapter 6: Math behind 2D convolution with advanced examples in TF
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