Resource link:

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? Pwd=bhct extraction code: bhct title: introduction to deep learning

Author: [Japan] Saito Yasunari

Translator: Lu Yujie

Douban score: 9.4

Publishing House: People's Posts and Telecommunications Publishing House

Publication year: 20 18-7

Page count: 285

Content abstract: This book is an introduction to deep learning in the true sense, and analyzes the principles and related technologies of deep learning in a simple way. Python3 is used in the book, which tries not to rely on external libraries or tools, and leads readers to create a classic deep learning network from scratch based on basic mathematical knowledge, so that readers can gradually understand deep learning in the process. The book not only introduces the concepts and characteristics of deep learning and neural network, but also deeply explains the error back propagation method and convolutional neural network. In addition, the practical skills related to deep learning, the application of automatic driving, image generation and reinforcement learning, and the "why" problems such as why adding depth can improve the recognition accuracy are also introduced.

About the author:

Saito Yasunari

Tokyo institute of technology graduated and completed the postgraduate course at the University of Tokyo. Now engaged in computer vision and machine learning related research and development. He introduced Python, Python in practice, elements of computing system and Japanese translation of building machine learning system with Python.

Translator profile:

Lu Yujie

Zhongan Technology NLP algorithm engineer. The main research direction is natural language processing and its application, paying close attention to image recognition, machine learning, deep learning and other fields. Python lovers.