Deep Learning Projects Using TensorFlow 2 (Paperback)

Vinita Silaparasetty

ISBN 10: 1484258010 / ISBN 13: 9781484258019

Edité par APress, Berkley, 2020

Paperback. 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 LearnGrasp the basic process of neural networks through projects, such as creating musicRestore and colorize black and white images with deep learning processesWho This Book Is ForBeginners new to TensorFlow and Python. Work through engaging and practical deep learning projects using TensorFlow 2.0. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781484258019

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.

À propos de l?auteur: Vinita Silaparasetty is a Data Scientist at Trendwise Analytics. Deep Learning is a topic she's passionate about, and she has experience working on deep learning projects and experimenting with neural networks. She aspires to share her love for deep learning with beginners and make it simple and easy to understand, so as to ignite a similar passion in them.

Détails bibliographiques

Titre : Deep Learning Projects Using TensorFlow 2 (...
Éditeur : APress, Berkley
Date d'édition : 2020
Reliure : Paperback
Etat : new
Edition : Edition originale