Artificial Neural Networks with TensorFlow 2

Artificial Neural Networks with TensorFlow 2: ANN Architecture Machine Learning Projects

eBook Details:

  • Paperback: 755 pages
  • Publisher: WOW! eBook; 1st edition (December 5, 2020)
  • Language: English
  • ISBN-10: 1484261496
  • ISBN-13: 978-1484261491

eBook Description:

Artificial Neural Networks with TensorFlow 2: ANN Architecture Machine Learning Projects

Develop machine learning models across various domains. This book offers a single source that provides comprehensive coverage of the capabilities of TensorFlow 2 through the use of realistic, scenario-based projects.

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.

What You’ll Learn

  • Develop Machine Learning Applications
  • Translate languages using neural networks
  • Compose images with style transfer

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.

DOWNLOAD

4 Responses

  1. March 3, 2021

    […] including those commonly used in economics. This Machine Learning for Economics and Finance in TensorFlow 2 book is structured to teach through a sequence of complete examples, each framed in terms of a […]

  2. March 3, 2021

    […] including those commonly used in economics. This Machine Learning for Economics and Finance in TensorFlow 2 book is structured to teach through a sequence of complete examples, each framed in terms of a […]

  3. March 7, 2021

    […] Learn TensorFlow Enterprise: Use TensorFlow Enterprise with other GCP services to improve the speed and efficiency of machine learning pipelines for reliable and stable enterprise-level deployment […]

  4. April 15, 2021

    […] TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on Google’s Cloud Service […]

Leave a Reply

Your email address will not be published. Required fields are marked *

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.