The Subtle Art of Optimizing Neural Networks (02)
Summarize videos instantly with our Course Assistant plugin, and enjoy AI-generated quizzes: https://bit.ly/ch-ai-asst If you've ever wondered about the math behind neural networks, wanted a tutorial on how neural networks work, and a lecture to demystify the whole thing behind artificial intelligence, look no further. Our VP of Artificial Intelligence, Preetham Vishwanatha, started a lecture series on AI. Join us for an informative journey!

▶︎
Feature Scaling and Regularization of Neural Networks (03)

▶︎
Intro to Machine Learning & Neural Networks. How Do They Work?

▶︎
The Math Behind Neural Networks (01)

▶︎
0:03 / 9:21The Absolutely Simplest Neural Network Backpropagation Example

▶︎
Image Classification Using Convolutional Neural Networks (04)

▶︎
The Most Important Algorithm in Machine Learning

▶︎
Neural Network 3D Simulation

▶︎
Blake Bordelon - Infinite limits and scaling laws of neural networks - IPAM at UCLA

▶︎
How convolutional neural networks work, in depth

▶︎
Graph Neural Networks - a perspective from the ground up

▶︎
10.14: Neural Networks: Backpropagation Part 1 - The Nature of Code

▶︎
Lec 01. Introduction to Deep Learning

▶︎
AlphaFold - The Most Useful Thing AI Has Ever Done

▶︎
Train Your Brain to Never Forget (5 Feynman Habits)

▶︎
I Tried Coding a Neural Network to Identify Doodles

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

▶︎
Visualizing transformers and attention | Talk for TNG Big Tech Day '24

▶︎
Neural Network Architectures & Deep Learning

▶︎
How Neural Networks Learn Concepts

▶︎
