Module 1-Multi-Layer Perceptron and Support Vector Machine (Session2)
For B.Tech Biomedical Engineering Course: 21BME381T-Deep Learning Techniques in Medicine Topics covered: Limitations of a Perceptron, Multi-Layer Perceptron and Support Vector Machine, SVM Margin and choice of hyperparameter

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Support Vector Machines Part 1 (of 3): Main Ideas!!!

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Module 1 - Activation Functions (Session 4)

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The World's Most Important Machine

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Attention in transformers, step-by-step | Deep Learning Chapter 6

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From Child Prodigy to Winning Fields Medal, Nobel of Math

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Module 1 - Training, Validation and Testing; Hyperparameters and Deep Learning Libraries (Session 5)

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1: Introduction to Neural Networks and Deep Learning; Training Deep NNs

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Skill Issue: Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI

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The Strange Math That Predicts (Almost) Anything

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General relativity from first principles – Adam Brown

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Transformers, the tech behind LLMs | Deep Learning Chapter 5
![AlphaZero Explained 3: How it Learns [Convolutional Neural Networks]](https://i.ytimg.com/vi/pGENcaOBmXw/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBlgVjB9GJyR7P04WJRKcwYessR5Q)
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AlphaZero Explained 3: How it Learns [Convolutional Neural Networks]

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But what is a neural network? | Deep learning chapter 1

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Yann LeCun: World Models: Enabling the next AI revolution

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Module 1 - Introduction to Deep Learning (Session 1)

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How to Build Systems to Actually Achieve Your Goals

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The Most Important Algorithm in Machine Learning

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Lec 01. Introduction to Deep Learning

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But what is quantum computing? (Grover's Algorithm)

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