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Title: tensorflow eBook

X Title: tensorflow eBook

Description: A tensorflow eBooks created from contributions of Stack Overflow users.

X Description: A tensorflow eBooks created from contributions of Stack Overflow users.

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titletensorflow eBook
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Chapter 1: Getting started with tensorflowhttps://riptutorial.com/tensorflow
Chapter 2: Creating a custom operation with tf.py_func (CPU only)https://riptutorial.com/tensorflow/topic/3856/creating-a-custom-operation-with-tf-py-func--cpu-only-
Chapter 3: Creating RNN, LSTM and bidirectional RNN/LSTMs with TensorFlowhttps://riptutorial.com/tensorflow/topic/4827/creating-rnn--lstm-and-bidirectional-rnn-lstms-with-tensorflow
Chapter 4: How to debug a memory leak in TensorFlowhttps://riptutorial.com/tensorflow/topic/3883/how-to-debug-a-memory-leak-in-tensorflow
Chapter 5: How to use TensorFlow Graph Collections?https://riptutorial.com/tensorflow/topic/6902/how-to-use-tensorflow-graph-collections-
Chapter 6: Math behind 2D convolution with advanced examples in TFhttps://riptutorial.com/tensorflow/topic/10015/math-behind-2d-convolution-with-advanced-examples-in-tf
Chapter 7: Matrix and Vector Arithmetichttps://riptutorial.com/tensorflow/topic/2953/matrix-and-vector-arithmetic
Chapter 8: Measure the execution time of individual operationshttps://riptutorial.com/tensorflow/topic/3850/measure-the-execution-time-of-individual-operations
Chapter 9: Minimalist example code for distributed Tensorflow.https://riptutorial.com/tensorflow/topic/10950/minimalist-example-code-for-distributed-tensorflow-
Chapter 10: Multidimensional softmaxhttps://riptutorial.com/tensorflow/topic/4999/multidimensional-softmax
Chapter 11: Placeholdershttps://riptutorial.com/tensorflow/topic/2952/placeholders
Chapter 12: Q-learninghttps://riptutorial.com/tensorflow/topic/9967/q-learning
Chapter 13: Reading the datahttps://riptutorial.com/tensorflow/topic/6684/reading-the-data
Chapter 14: Save and Restore a Model in TensorFlowhttps://riptutorial.com/tensorflow/topic/5000/save-and-restore-a-model-in-tensorflow
Chapter 15: Save Tensorflow model in Python and load with Javahttps://riptutorial.com/tensorflow/topic/10718/save-tensorflow-model-in-python-and-load-with-java
Chapter 16: Simple linear regression structure in TensorFlow with Pythonhttps://riptutorial.com/tensorflow/topic/9954/simple-linear-regression-structure-in-tensorflow-with-python
Chapter 17: Tensor indexinghttps://riptutorial.com/tensorflow/topic/2511/tensor-indexing
Chapter 18: TensorFlow GPU setuphttps://riptutorial.com/tensorflow/topic/10621/tensorflow-gpu-setup
Chapter 19: Using 1D convolutionhttps://riptutorial.com/tensorflow/topic/5447/using-1d-convolution
Chapter 20: Using Batch Normalizationhttps://riptutorial.com/tensorflow/topic/7909/using-batch-normalization
Chapter 21: Using if condition inside the TensorFlow graph with tf.condhttps://riptutorial.com/tensorflow/topic/2628/using-if-condition-inside-the-tensorflow-graph-with-tf-cond
Chapter 22: Using transposed convolution layershttps://riptutorial.com/tensorflow/topic/9640/using-transposed-convolution-layers
Chapter 23: Variableshttps://riptutorial.com/tensorflow/topic/2954/variables
Chapter 24: Visualizing the output of a convolutional layerhttps://riptutorial.com/tensorflow/topic/9346/visualizing-the-output-of-a-convolutional-layer
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