Neural Networks
- Build a Neural Network from Zero: You will write every line of code yourself, using only basic Python.
- No Black Boxes: We skip the complex frameworks to show you the simple math and logic that powers AI.
- Start with a Single Neuron: Understand the absolute basic building block before combining them into a powerful network.
- Master Backpropagation: Demystify the "learning" process by coding the famous backpropagation algorithm step-by-step.
- Gain True Intuition: Finish with a deep, practical understanding of how neural networks actually learn from data.
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Guidelet Content
- Chapter 1 A Single Neuron
- Chapter 2 A Neuron Needs to Make a Decision -Activation Functions
- Chapter 3 From a Single Neuron to a Coordinated Layer Of Neurons
- Chapter 4 A Deep Network is Just a Chain of Layers
- Chapter 5 Are We Right Yet? The Loss Function
- Chapter 6 Updating The Weights : Backpropogation