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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