Deep Learning from Scratch: Building with Python from First Principles

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

• Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Addison-Wesley Data & Analytics Series)
• Python for DevOps: Learn Ruthlessly Effective Automation
• Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications
• Database Internals: A Deep Dive into How Distributed Data Systems Work
• Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
• Practical Time Series Analysis: Prediction with Statistics and Machine Learning
• Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
• Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence (Addison-Wesley Data & Analytics Series)
• Data Science from Scratch: First Principles with Python
• Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems