
Neural Networks: A Beginner-Friendly Audio Guide to How Machines Learn, Recognize Patterns, and Make Predictions
Edward Markham
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Opening Credits
1/13/2026
Chapter 1: From Rules To Learning How Machines Began To Learn From Data
1/13/2026
Chapter 2: Seeing Patterns The Mental Toolkit For Understanding Neural Networks
1/13/2026
Chapter 3: The Simple Neuron A Tiny Decision Maker
1/13/2026
Chapter 4: Layers And Flows How Networks Build Understanding Step By Step
1/13/2026
Chapter 5: Learning From Mistakes Training Neural Networks Without The Math
1/13/2026
Chapter 6: Feedforward Networks The Generalists Of Pattern Recognition
1/13/2026
Chapter 7: Seeing With Machines Convolutional Networks And Images
1/13/2026
Chapter 8: Listening And Remembering Recurrent Networks And Sequences
1/13/2026
Chapter 9: Paying Attention Modern Language Models And Beyond
1/13/2026
Chapter 10: Promises, Pitfalls, And The Road Ahead
1/13/2026
Closing Credits
1/13/2026