SGD

Software / App

Stochastic gradient descent (baseline optimizer) used in examples; compared to Adam/RMSprop when discussing practical stability.

Mentioned in 4 videos

Videos Mentioning SGD

Building makemore Part 3: Activations & Gradients, BatchNorm

Building makemore Part 3: Activations & Gradients, BatchNorm

Andrej Karpathy

Stochastic gradient descent (baseline optimizer) used in examples; compared to Adam/RMSprop when discussing practical stability.

Breaking down the OG GPT Paper by Alec Radford

Breaking down the OG GPT Paper by Alec Radford

Latent Space

Mentioned as an example of an optimizer relevant to word embeddings.

MIT 6.S094: Recurrent Neural Networks for Steering Through Time

MIT 6.S094: Recurrent Neural Networks for Steering Through Time

Lex Fridman

Stochastic Gradient Descent, a common optimization algorithm for training neural networks, discussed as the vanilla approach that can find solutions despite non-convex landscapes.

Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 2: PyTorch (einops)

Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 2: PyTorch (einops)

Stanford Online

Stochastic Gradient Descent, mentioned as a foundational optimization algorithm from which Adagrad and Adam evolved.