Preface

Deep Learning, as a highly activated research field recently, had attract lots of researchers' attentions. For those want to step into this field, they need some guidances, and this is purpose why I wrote this book.

Actually, there are many tutorials or online resources about Deep Learning, and most of them are excellent. Although they are good for studying basic concepts and coding, they all seem some sort of out of date, i.e., their content didn't reflect the recent developments or trend in Deep Learning. For an individual, it is hard to keep track of all possible progress and applications, so this book is remained opened online and supports collaborative editing.

There are 3 important aspects of this book differed from others:

1. Maintain useful online resources that formal book will not cover(courses, talks, blogs and etc);
2. Provide implementations of different networks;
3. Contain a nice historical remarks and up-to-date reference.

I hope that when readers worked through this book, they can then focus on Deep Learning researches immediately without turning to search and read through recent papers and prepare a long time for coding. In my experience, avoiding such process could reduce their burden significantly.