Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras

✍ Scribed by Vinita Silaparasetty

Publisher: Apress
Year: 2020
Tongue: English
Leaves: 446
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will lead new programmers through the basics into developing practical deep learning applications.

Deep learning is quickly integrating itself into the technology landscape. Its applications range from applicable data science to deep fakes and so much more. It is crucial for aspiring data scientists or those who want to enter the field of AI to understand deep learning concepts.

The best way to learn is by doing. You'll develop a working knowledge of not only TensorFlow, but also related technologies such as Python and Keras. You'll also work with Neural Networks and other deep learning concepts. By the end of the book, you'll have a collection of unique projects that you can add to your GitHub profiles and expand on for professional application.

What You'll Learn

Grasp the basic process of neural networks through projects, such as creating music
Restore and colorize black and white images with deep learning processes

Who This Book Is For

Beginners new to TensorFlow and Python.

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