As part of the best-selling Pocket Primer series this book is designed to introduce beginners
to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced
introduction to various core features of TensorFlow with code samples that cover machine
learning and TensorFlow basics. A comprehensive appendix contains some Keras-based code samples
and the underpinnings of MLPs CNNs RNNs and LSTMs. The material in the chapters illustrates
how to solve a variety of tasks after which you can do further reading to deepen your
knowledge. Companion files with all of the code samples are available for downloading from the
publisher by emailing proof of purchase to info@merclearning.com. Features: Uses Python for
code samples Covers TensorFlow 2 APIs and Datasets Includes a comprehensive appendix that
covers Keras and advanced topics such as NLPs MLPs RNNs LSTMs Features the companion files
with all of the source code examples and figures (download from the publisher)
