Neural Networks and Deep Learning: An Intuitive, Hands-On Guide to Building Modern AI From Scratch

Stefan Muller

Demystify artificial intelligence and master deep learning without getting lost in heavy math or intimidating jargon. Perfect for your morning commute or focused study sessions, this empowering audio journey transforms complex algorithms into...

Premium Chapters

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Opening Credits

1/13/2026

Chapter 1: From Magic Tricks to Mental Models What Neural Networks Really Do

1/13/2026

Chapter 2: Perceptrons and Neurons The Simplest Learning Machines

1/13/2026

Chapter 3: Stacking Brains Building Multilayer Networks and Representations

1/13/2026

Chapter 4: Turning Signals into Decisions Activation Functions and Outputs

1/13/2026

Chapter 5: Teaching by Mistake Loss, Optimization, and the Idea of Gradient Descent

1/13/2026

Chapter 6: Backpropagation Without Tears How Networks Actually Learn

1/13/2026

Chapter 7: Shapes, Sequences, and Structures Architectures for Vision, Text, and Tables

1/13/2026

Chapter 8: From Idea to Working Model Training, Tuning, and Evaluation in Practice

1/13/2026

Chapter 9: Beyond the Lab Robust, Fair, and Responsible Neural Networks

1/13/2026

Chapter 10: Your Deep Learning Journey Roadmaps, Projects, and Next Steps

1/13/2026

Closing Credits

1/13/2026