Deep learning using Javab An Efficient Deep Learning Neural Network Deployment Guide for Java Developers The first part of this book explains the theory, and the second part explains the essence of deep learning practices such as tuning, parallelization, vectorization, and pipeline construction. do. In particular, the DL4J library teaches practical methods and strategies for learning deep-network structures in Spark and Hadoop and for running a deep-running workflow. Deeply dealing with both theory and practice, beginners who do not have deep learning expertise can build a deep learning neural network after reading this book.