【2022新书】深度学习R语言实战，第二版，568页电子书
从基本原理中进行深度学习 图像分类和图像分割 时间序列预测 文本分类与机器翻译 文本生成，神经风格转换，和图像生成
1 What is deep learning?
2 The mathematical building blocks of neural networks
3 Introduction to Keras and TensorFlow
4 Getting started with neural networks: Classification and regression
5 Fundamentals of machine learning
6 The universal workflow of machine learning
7 Working with Keras: A deep dive
8 Introduction to deep learning for computer vision
9 Advanced deep learning for computer vision
10 Deep learning for time series
11 Deep learning for text
12 Generative deep learning
13 Best practices for the real world
14 Conclusions
App. Python primer for R users
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