SGD
gradient descent method used for the minimization of an objective function
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Videos Mentioning SGD
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
Latent Space
Mentioned as an example of an optimizer relevant to word embeddings.
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 Online
Stochastic Gradient Descent, mentioned as a foundational optimization algorithm from which Adagrad and Adam evolved.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 9: Scaling Laws
Stanford Online
Stochastic Gradient Descent, an optimization algorithm discussed in the context of scaling laws and compared against Adam, highlighting similar scaling trends despite different methodologies.