Lecture 17 - Generative Adversarial Networks Implementation
This lecture walks through the implementation of a GAN architecture, both using an explicit training loop, and using a modularized GAN loss approach.
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Lecture 16 - Generative Adversarial Networks
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Proximal Policy Optimization (PPO) - How to train Large Language Models
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Lecture 13 - Hardware Acceleration Implemention
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Lecture 15 - Training Large Models
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Take a break from AI and watch me struggle to control a pendulum.
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Lecture 18 - Sequence Modeling and Recurrent Networks
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Lecture 9 - Normalization and Regularization
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Lecture 14 - Implementing Convolutions
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From Child Prodigy to Winning Fields Medal, Nobel of Math
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Abstract Black and White wave pattern| Height Map Footage| 3 hours Topographic 4k Background
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Mathematik zum Anfassen! - Festvortrag Albrecht Beutelspacher
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Lecture 8 - Neural Network Library Implementation
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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
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Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan
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The Moment That Changed Software Development!
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Lecture 19 - RNN Implementation
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AlphaFold - The Most Useful Thing AI Has Ever Done
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Transformers, the tech behind LLMs | Deep Learning Chapter 5
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1: Introduction to Neural Networks and Deep Learning; Training Deep NNs
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