Deep Learning

A Practitioner’s Approach by Josh Patterson and Adam Gibson offers a hands-on guide to applying deep neural networks in real-world production environments. Tailored for developers and data scientists, this book bridges foundational machine learning concepts with advanced deep learning techniques and practical implementation using the open-source Deeplearning4j (DL4J) library.

Readers will gain insights into deep learning architectures like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), and learn how to build, tune, and optimize these models for performance on big data platforms such as Apache Spark and Hadoop. The book also emphasizes vectorization using DL4J’s DataVec, model training at scale, and pipeline integration—all while maintaining a pragmatic tone grounded in enterprise use cases. Download the free excerpt to preview Chapters 1 and 3 and start accelerating your deep learning journey today.