Inside Deep Learning: Math, Algorithms, Models by Edward Raff (2022, Paperback)

Inside Deep Learning: Math, Algorithms, Models by Edward Raff (2022, Paperback)

Inside Deep Learning: Math, Algorithms, Models by Edward Raff

Demystify modern deep learning with this clear, practical guide centered on PyTorch implementations. Written by Booz Allen Hamilton Chief Scientist Edward Raff, this book breaks down complex neural network architectures, algorithms, and mathematical foundations into plain English with zero fluff.

What’s Inside:

Hands-on deep learning implementations using PyTorch and Google Colab

Step-by-step guidance on selecting components, training, evaluating, and fine-tuning models

Core architectures covered: Convolutional (CNNs), Recurrent (RNNs), GANs, Autoencoders, Object Detection, and Attention Mechanisms

Practical advice on hyperparameter tuning and model performance optimization

Book Details:

Publisher: Manning Publications

Publication Date: 2022

Format: Trade Softcover / Paperback

ISBN-13: 978-1617298639

ISBN-10: 1617298638

Page Count: ~500 pages

Ideal for Python programmers and machine learning practitioners looking to move beyond black-box tools to build and customize real-world deep learning models with confidence.