AI Glossary
A branch of machine learning that uses neural networks with many layers to learn representations directly from raw data such as text, images or sound.
Instead of engineers hand-designing features, deep networks learn them: early layers capture simple patterns and later layers combine them into abstract concepts. The approach took off around 2012 thanks to large datasets and GPU computing.
Nearly all of today’s prominent AI — language models, image generators, speech recognition — is deep learning.
The textbooks and essays that shaped how researchers think about artificial intelligence, from search and logic to deep learning and reinforcement learning.
thelatentdaily.com Editorial Team3 min read
AlexNet, word2vec, GANs, ResNet, AlphaGo, transformers, BERT, GPT-3, AlphaFold and ChatGPT: the ten results that turned deep learning into today's AI.
thelatentdaily.com Editorial Team3 min read
Adam combined momentum with per-parameter learning rates and became the default way to train deep learning models. How it works, why it won and its known pitfalls.
thelatentdaily.com Editorial Team4 min read