EAN: 9781492041412

DEEP LEARNING FROM SCRATCH - SETH WEIDMAN KARTO...

With the resurgence of neural networks in the 2010s  deep learning has become essential for
machine learning practitioners and even many software engineers. This book provides a
comprehensive introduction for data scientists and software engineers with machine learning
experience. You'll start with deep learning basics and move quickly to the details of important
advanced architectures  implementing everything from scratch along the way. Author Seth Weidman
shows you how neural networks work using a first principles approach. You'll learn how to apply
multilayer neural networks  convolutional neural networks  and recurrent neural networks from
the ground up. With a thorough understanding of how neural networks work mathematically 
computationally  and conceptually  you'll be set up for success on all future deep learning
projects. This book provides: Extremely clear and thorough mental models—accompanied by working
code examples and mathematical explanations—for understanding neural networks Methods for
implementing multilayer neural networks from scratch  using an easy-to-understand
object-oriented framework Working implementations and clear-cut explanations of convolutional
and recurrent neural networks Implementation of these neural network concepts using the popular
PyTorch framework

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