Start exploring the world of deep learning in an understandable way. Grokking Deep Learning is a book for readers who want to become familiar with the fundamentals of deep learning and related topics in artificial intelligence and machine learning.

The book gradually explains the principles of neural networks and their training through practical examples. While reading, you will get an idea of how basic models are used in different types of tasks (e.g., working with text or image data) and how to think about their practical application. The presentation is designed to be accessible to beginners while still useful for readers with basic programming experience.

This publication can help you build a coherent overview of how neural networks work and the typical steps involved in their implementation and tuning. Individual chapters focus on progressively building understanding "step by step."

Why choose this book?

• Clear explanations of basic concepts, even for beginners.
• Practical examples and tutorials that can be used in your own learning.
• A "step-by-step" approach to understanding key deep learning concepts.
• Examples of method applications on typical practical tasks.
• Suitable for skill development related to AI and data science.

Key features

• Explanation of the basic principles of neural networks and deep learning.
• Practical guides for implementing selected procedures and algorithms.
• Suitable for students, developers, and AI enthusiasts.
• Emphasis on clarity and gradual knowledge building.
• Helps understand how selected techniques are used in practice.