涉及和深度学习相关的各种内容,包括TensorFlow、PyTorch、Theano、Hadoop、计算机视觉、神经网络、大数据等,语言涉及Python、Java、R和Matlab。本压缩包内具体包括以下25本PDF格式电子书:
1)Deep Learning for Computer Vision
2)Hands-On Deep Learning with TensorFlow
3)Deep Learning for Computer Architects
4)Python Deep Learning Cookbook
5)Deep Learning for Beginners_Concepts, Techniques and Tools
6)Pro Deep Learning with TensorFlow
7)Neural Networks and Deep Learning
8)Deep Learning with Python
9)TensorFlow 1.x Deep Learning Cookbook
10)Deep Learning Innovations and Their Convergence With Big Data
11)Deep Learning with PyTorch
12)TensorFlow for Deep Learning
13)Deep Learning: Practical Neural Networks with Java
14)Introduction to Deep Learning Using R
15)Deep Learning with Theano
16)Deep Learning: A Practitioner‘s Approach
17)Learning TensorFlow: A Guide to Building Deep Learning Systems
18)R Deep Learning Cookbook
19)Deep Learning with Hadoop
20)Deep Learning with TensorFlow
21)Deep Learning with Python: A Hands-on Introduction
22)Python Deep Learning
23)Fundamentals of Deep Learning
24)MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
25)Deep Learning_Goodfellow (draft,2016)
原文地址:http://blog.51cto.com/14166705/2341857