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Deep Learning and Neural Networks
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Chapter 1 - Predictive Neural Networks
4 Lessons
Neural Networks
Labs - Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks
Chapter 2 - Generative Neural Networks
5 Lessons
Denoising and Variational Autoencoders
Generative Adversarial Networks (GANS)
Stable Diffusion
Restricted Boltzmann Machines (RBMs)
Hopfield Networks
Chapter 3: Math Foundations of Neural Networks
4 Lessons
Universal Approximation Theorem
Stone-Weierstrass Theorem
Kolmogorov-Arnold Networks
Kolmogorov-Arnold Theorem
Deep Learning and Neural Networks
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Chapter 3: Math Foundations of Neural Networks

Kolmogorov-Arnold Networks

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Reinforcement Learning for LLMs

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