第1章 深度学习入门简介
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1.1 The Series Intro
1.2 What is a Neural Network
1.3 3 reasons to go Deep
1.4 Your choice of Deep Net
1.5 An Old Problem
1.6 Restricted Boltzmann Machines
1.7 Deep Belief Nets
1.8 Convolutional Neural Networks
1.9 Recurrent Neural Networks
1.10 Autoencoders
1.11 Recursive Neural Tensor Nets
1.12 Use Cases
1.13 What is a Deep Net Platform
1.14 H2O.ai
1.15 Dato GraphLab
1.16 What is a Deep Learning Library
1.17 Theano
1.18 Deeplearning4j
1.19 Torch
1.20 Caffe
1.21 How good is your fit
1.22 TensorFlow
1.23 Metrics
1.24 Deep Net Performance
1.25 Text Analytics
1.26 Configuring a Deep net
1.27 Transfer Learning with indico
1.28 Fashion Matching Demo with indico
1.29 Neural Storyteller with Somatic
1.30 Inceptionism with Somatic
1.31 Reinforcement Learning
第1节 The Series Intro
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