Overview
- Tackle advanced neural network projects with TensorFlow
- Hone a working knowledge of ANN architectures
- Progress from deep learning beginner to experienced DL developer
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (14 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
After learning what's new in TensorFlow 2, you'll dive right into developing machine learning models through applicable projects. This book covers a wide variety of ANN architectures—starting from working with a simple sequential network to advanced CNN, RNN, LSTM, DCGAN, and so on. A full chapter is devoted to each kind of network and each chapter consists of a full project describing the network architecture used, the theory behind that architecture, what data set is used, the pre-processing of data, model training, testing and performance optimizations, and analysis.
This practical approach can either be used from the beginning through to the end or, if you're already familiar with basic ML models, you can dive right into the application that interests you. Line-by-line explanations on major code segments help to fill in the details as you work and the entire project source is available to you online for learning and further experimentation. With Artificial Neural Networks with TensorFlow 2 you'll see just how wide the range of TensorFlow's capabilities are.
What You'll Learn
- Develop Machine Learning Applications
- Translate languages using neural networks
- Compose images with style transfer
Who This Book Is For
Beginners, practitioners, and hard-cored developers who want to master machine and deep learning with TensorFlow 2. The reader should have working concepts of ML basics and terminologies.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Artificial Neural Networks with TensorFlow 2
Book Subtitle: ANN Architecture Machine Learning Projects
Authors: Poornachandra Sarang
DOI: https://doi.org/10.1007/978-1-4842-6150-7
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Poornachandra Sarang 2021
Softcover ISBN: 978-1-4842-6149-1Published: 21 November 2020
eBook ISBN: 978-1-4842-6150-7Published: 20 November 2020
Edition Number: 1
Number of Pages: XXIX, 726
Number of Illustrations: 237 b/w illustrations
Topics: Machine Learning