Java Deep Learning Projects

What this book covers

Chapter 1, Getting Started with Deep Learning, explains some basic concepts of machine learning and artificial neural networks as the core of deep learning. It then briefly discusses existing and emerging neural network architectures. Next, it covers various features of deep learning frameworks and libraries. Then it shows how to solve Titanic survival prediction using a Spark-based Multilayer Perceptron (MLP). Finally, it discusses some frequent questions related to this projects and general DL area.

Chapter 2, Cancer Types Prediction Using Recurrent Type Networks, demonstrates how to develop a DL application for cancer type classification from a very-high-dimensional gene expression dataset. First, it performs necessary ...