Deep Learning
Rigorous graduate treatment of modern deep learning foundations at MIT, covering optimization dynamics, representation learning, sequence modeling, generative architectures, and generalization theory.
Jeremy Bernstein
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Complete university lecture series taught by Jeremy Bernstein.
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5 steps · 6h2 universities
Deep Representation Learning & Approximation Theory
Neural approximation theorems, optimization dynamics, and relational query engines
MIT · Carnegie Mellon University
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Chapters · Duration
6.7960 · Lec 3 · Jeremy Bernstein · MIT
1:22:42
6.7960 · Lec 13 · Jeremy Bernstein · MIT
1:15:21
6.7960 · Lec 7 · Jeremy Bernstein · MIT
1:20:56