دانلود کتاب Learning Tensorflow: A Guide to Building Deep Learning Systems

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Contents
Preface
Introduction
Going Deep
TensorFlow: What’s in a Name?
A High-Level Overview
Summary
Up & Running with TensorFlow
Installing TensorFlow
Hello World
MNIST
Softmax Regression
Summary
TensorFlow Basics
Computation Graphs
Graphs, Sessions, and Fetches
Flowing Tensors
Variables, Placeholders, and Simple Optimization
Summary
Convolutional Neural Networks
Introduction to CNNs
MNIST: Take II
CIFAR10
Summary
Text & Sequences & Visualization
The Importance of Sequence Data
Introduction to Recurrent Neural Networks
RNN for Text Sequences
Summary
Word Vectors, Advanced RNN & embedding Visualization
Introduction to Word Embeddings
Word2vec
Pretrained Embeddings, Advanced RNN
Summary
TensorFlow Abstractions & Simplification
Chapter Overview
contrib.learn
TFLearn
Summary
Queues Threads & Reading Data
The Input Pipeline
TFRecords
Queues
A Full Multithreaded Input Pipeline
Summary
Distributed TensorFlow
Distributed Computing
TensorFlow Elements
Distributed Example
Summary
Exporting & Serving Models
Saving and Exporting Our Model
Introduction to TensorFlow Serving
Summary
Model Construction & TensorFlow Serving
Model Structuring and Customization
Required and Recommended Components for TensorFlow Serving
Index