Angular and Deep Learning Pocket Primer

As part of the best-selling Pocket Primer series, this book provides readers with enough information to develop Angular applications that incorporate deep learning. The first three chapters contain a short tour of basic Angular functionality, such as UI components and forms in Angular applications. The fourth chapter introduces you to deep learning, the problems it can solve, and some challenges for the future. You will also learn about MLPs (MultiLayer Perceptrons), CNNs (Convolutional Neural Networks), and a Keras-based code sample of a CNN with the MNIST dataset. The fifth chapter discusses RNNs, BPTT, as well as LSTMs and AEs (Auto Encoders). The sixth chapter introduces basic TensorFlow concepts, followed by tensorflowjs (i.e., TensorFlow in modern browsers), and some examples of Angular applications combined with deep learning. The files with code and color figures are on the companion disc with the book or available from the publisher.

Features:

• Introduces the basic deep learning concepts and Angular applications
• Includes companion files with code samples and 4-color figures