Part III · Era 5 — Deep Learning Revolution (2012–2016)
The turning point. Deep networks trained on GPU over lots of data surpass everything that came before — first in vision, then in games. Modern AI begins here.
Narrative
In 2012, AlexNet wins the ImageNet challenge by a huge margin, proving that deep convolutional networks + GPUs are a leap, not an increment. Computer vision is rewritten in months; soon come advances in language (word2vec), generation (GANs) and translation (attention). In 2016, AlphaGo defeats a world Go champion — a milestone that was believed to be decades away. Deep learning goes from a bet to a consensus.
Milestones
- 2012 — AlexNet · Krizhevsky, Sutskever, Hinton · ImageNet error plummets;
start of the revolution.
- 2013 — word2vec · Mikolov (Google) · embeddings that capture word
semantics.
- 2013/2015 — DQN plays Atari · DeepMind · deep RL learns from scratch
through pixels.
- 2014 — GANs · Ian Goodfellow · realistic generation through an adversarial
game.
- 2014 — Seq2seq + Attention · Sutskever; Bahdanau · neural translation; seed
of the Transformer.
- 2015 — ResNet · He et al. (Microsoft) · residual connections enable
ultra-deep networks.
- 2015 — TensorFlow · Google · framework that popularizes deep learning.
- 2016 — AlphaGo beats Lee Sedol · DeepMind · historic milestone in
perfect-information games.
People
Ilya Sutskever (1986–) — coauthor of AlexNet and seq2seq. Later cofounder and chief scientist of OpenAI. 🖼️ Photo
F-III.13.
Ian Goodfellow (1985–) — inventor of GANs (2014). Opened up adversarial data generation.
Demis Hassabis (1976–) — cofounder of DeepMind. AlphaGo, AlphaFold; Nobel Prize in Chemistry 2024. 🖼️ Photo
F-III.14.
Alex Krizhevsky — first author of AlexNet. Implemented the GPU training that made the leap possible.
🎨 Figure
F-III.15— The cat that changed everything. Brief: iconic illustration of a CNN processing the image of a cat in layers (edges → textures → parts → object), with a GPU board pulsing alongside; in the background, AlphaGo's Go board with "move 37". Celebrates the moment when vision and games fell.
Connection to the Compendium: it is the explosion of the connectionist paradigm (../02-types-of-ai/02-connectionist.kmd) and of deep RL (../02-types-of-ai/05-reinforcement.kmd); it enshrines GPU + data + training as the core of the life cycle (Part I).