NeuroGenesys All reference videosAcademy • Video series • 18 videosOpen on YouTube
Stanford CS231N: Deep Learning for Computer Vision, 2025
Stanford Online
Why watch
Its lectures on backprop, optimizers and training dynamics are among the clearest anywhere.
This is a full series. The player starts at the first episode; use its playlist menu, or open it on YouTube, to pick an episode.
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20:333Blue1BrownGradient descent, how neural networks learn | Deep Learning Chapter 2
Loss surfaces and descent, visually.
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12:473Blue1BrownBackpropagation, intuitively | Deep Learning Chapter 3
What backprop computes, before the calculus.
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2:25:52Andrej KarpathyThe spelled-out intro to neural networks and backpropagation: building micrograd
Build autograd yourself. The chain rule, organised, in code.
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15:52DeepBeanOptimization for Deep Learning (Momentum, RMSprop, AdaGrad, Adam)
How SGD grew into Adam, one fix at a time.
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