Deep Learning Lecture Series

Dive into an extensive 18-hour lecture series covering the fundamentals and advanced concepts of deep learning. Begin with an introduction to machine learning and AI, then progress through neural network foundations, convolutional neural networks for image recognition, and advanced computer vision models. Explore optimization techniques for machine learning, sequences and recurrent networks, and natural language processing applications. Delve into attention and memory mechanisms, generative adversarial networks, unsupervised representation learning, and modern latent variable models. Conclude with a crucial discussion on responsible innovation in the field of deep learning and AI.

DeepMind x UCL | Deep Learning Lectures | 1/12 | Intro to Machine Learning & AI.
DeepMind x UCL | Deep Learning Lectures | 2/12 | Neural Networks Foundations.
DeepMind x UCL | Deep Learning Lectures | 3/12 | Convolutional Neural Networks for Image Recognition.
DeepMind x UCL | Deep Learning Lectures | 4/12 | Advanced Models for Computer Vision.
DeepMind x UCL | Deep Learning Lectures | 5/12 | Optimization for Machine Learning.
DeepMind x UCL | Deep Learning Lectures | 6/12 | Sequences and Recurrent Networks.
DeepMind x UCL | Deep Learning Lectures | 7/12 | Deep Learning for Natural Language Processing.
DeepMind x UCL | Deep Learning Lectures | 8/12 | Attention and Memory in Deep Learning.
DeepMind x UCL | Deep Learning Lectures | 9/12 | Generative Adversarial Networks.
DeepMind x UCL | Deep Learning Lectures | 10/12 | Unsupervised Representation Learning.
DeepMind x UCL | Deep Learning Lectures | 11/12 | Modern Latent Variable Models.
DeepMind x UCL | Deep Learning Lectures | 12/12 | Responsible Innovation.