3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch
MIT 15.773 Hands-On Deep Learning Spring 2024 Instructor: Rama Ramakrishnan View the complete course: https://ocw.mit.edu/courses/15-773-ha... YouTube Playlist: • MIT 15.773 Hands-On Deep Learning Spring 2024 A recap of training flow is given, then the rest of the session walks through the steps of building a deep neural network in Colab. License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlQ We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro to HuggingFace

2: Training Deep NNs (cont.); Introduction to Keras/Tensorflow; Application to Tabular Data

But what is a convolution?

Yann LeCun: World Models: Enabling the next AI revolution

Stanford CS153 Frontier Systems | Jensen Huang from NVIDIA on the Compute Behind Intelligence

Trump’s Childish Behavior with World Leaders, Republicans Bash His Iran Deal & Guillermo’s Huge News

Inside Anthropic, the $965 Billion AI Juggernaut | The Circuit

MIT 6.S191: Convolutional Neural Networks

5: Deep Learning for Natural Language – The Basics

Robotics' End Game: Nvidia's Jim Fan

The Hardest Questions in Physics | World Science Festival

Why birth rates are falling everywhere all at once | FT

Something is jamming GPS over Europe. Here's what we found

AI Isn't as Powerful as We Think | Hannah Fry

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

Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

Training Sand to Think: Artificial General Intelligence & Future of Physics

MIT 6.S191: AI for Science

7: Deep Learning for Natural Language – Transformers

