What you need for this book
We expect all the readers of this book to have some background on computer science. This book mainly talks on different deep neural networks, their designs and applications with Deeplearning4j. To extract the most out of the book, the readers are expected to know the basics of machine learning, linear algebra, probability theory, the concepts of distributed systems and Hadoop. For the implementation of deep neural networks with Hadoop, Deeplearning4j has been extensively used throughout this book. Following is the link for everything you need to run Deeplearning4j:
