Apress, 2019. — 182 p. — ISBN13: (electronic): 978-1-4842-4240-7. Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras. The...
Reactive Publishing, 2024. — 654 p. In an era where Artificial Intelligence is revolutionizing industries, mastering the tools and techniques to harness its potential is essential. Mastering Keras: Building Advanced Deep Learning Models with Python is your comprehensive guide to diving deep into the world of neural networks and Deep Learning using Keras, one of the most...
2nd Edition. — Packt Publishing, 2020. — 444 p. — ISBN: 978-1-83921-757-9. Cut through the noise and get real results with a step-by-step approach to understanding deep learning with Keras programming You already know that you want to learn Keras, and a smarter way to learn is to learn by doing. The Deep Learning with Keras Workshop focuses on building up your practical skills...
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