Keras 3: The Comprehensive Guide by Mohammad Nauman (.ePUB)+
File Size: 45.4 MB
Keras 3: The Comprehensive Guide to Deep Learning with the Keras API and Python by Mohammad Nauman
Requirements: .PDF, .ePUB reader, 45.4 MB | True PDF, True ePUB
Overview: Harness the power of AI with this guide to using Keras! Start by reviewing the fundamentals of Deep Learning and installing the Keras API. Next, follow Python code examples to build your own models, and then train them using classification, gradient descent, and regularization. Design large-scale, multilayer models and improve their decision making with reinforcement learning. With tips for creating generative AI models, this is your cutting-edge resource for working with Deep Learning! Keras code is remarkably dense and concise. You can create extremely complex models, train them on large datasets, and evaluate their performance using only tens of lines of code, not hundreds. Some smaller pipelines require fewer than 30 lines to implement complete end-to-end solutions. This conciseness represents both Keras’s greatest strength and its potential challenge for newcomers. The density of Keras code means that each line often encapsulates sophisticated Deep Learning concepts and operations.
Genre: Non-Fiction > Tech & Devices
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