
Neural Networks for Beginners: A Friendly, Visual Introduction to Deep Learning, From Core Concepts to Simple Real-World Projects
Lucas Bernard
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Opening Credits
1/13/2026
Chapter 1: Meeting Artificial Intelligence Without The Jargon
1/13/2026
Chapter 2: From Rules To Learning How Machines Find Patterns
1/13/2026
Chapter 3: A First Look Inside Neural Networks The Big Picture
1/13/2026
Chapter 4: Inside A Single Neuron Simple Steps To A Decision
1/13/2026
Chapter 5: How Neural Networks Learn From Mistakes
1/13/2026
Chapter 6: Different Network Shapes And What They Are Good At
1/13/2026
Chapter 7: Walking Through Simple Real World Style Examples
1/13/2026
Chapter 8: Data Quality Overfitting And Knowing When To Trust A Model
1/13/2026
Chapter 9: Neural Networks In The Wild Power Limits And Responsibilities
1/13/2026
Chapter 10: Your Next Steps As An Informed Beginner
1/13/2026
Closing Credits
1/13/2026