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Module 7 of 8

Foundations of Neural Networks and Transformers

Build the math and intuition behind modern models: vectors, derivatives, gradient descent, neural networks, and the networks used for text and images.

1. Linear Algebra; Calculus
2. Other Mathematical Topics: Learning with Derivatives
3. Foundations of NN: Gradient Descent
4. Building a Neural Network
5. How Neural Networks Work
6. Neural Networks Advanced
7. Neural Networks for Text
8. Convolutional Neural Networks

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