Deep Learning From Scratch: Building With Python From First Principles

Description

Buy Deep Learning From Scratch: Building With Python From First Principles Used Books Online India, Authored by seth weidman in paperback binding from Used Book Store.

Unlock the power of deep learning with this essential guide for machine learning practitioners and software engineers. Designed for data scientists and engineers with existing machine learning knowledge, this book provides a comprehensive introduction. You’ll begin with core concepts and rapidly advance to the intricate details of key advanced architectures. Gain practical experience by building everything from scratch. Explore how neural networks function with a first principles approach. Learn to implement multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. Develop a solid understanding of neural networks from mathematical, computational, and conceptual perspectives, equipping you for future deep learning endeavors. This book delivers: Clear and thorough mental models, supported by working code examples and mathematical explanations, for a deep understanding of neural networks. Methods for implementing multilayer neural networks from scratch, utilizing an intuitive object-oriented framework. Working implementations and straightforward explanations of convolutional and recurrent neural networks. Implementation of these neural network concepts using the PyTorch framework.

About the Author

Seth is a data scientist who lives in San Francisco. He has been obsessed with understanding Deep Learning ever since he began learning about it in late 2016 and has been writing and speaking about it whenever he can ever since. Professionally, he has applied a variety of machine learning models in industry, taught data science to individuals and companies, and works on modeling and Python projects on the side. Full time, he teaches data science to companies via the Corporate Training team at Metis. He strives to find the simplicity on the other side of complexity.

9789352139026 ISBN
Computer Science
Computing, Internet & Digital Media