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Optimisation

Alfredo Canziani via YouTube

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This lecture explains gradient descent, stochastic gradient descent, momentum updates, and adaptive methods such as RMSprop and Adam, then examines normalization layers in neural-network training and an MRI application.

Syllabus

– Week 5 – Lecture
– Gradient Descent
– Stochastic Gradient Descent
– Momentum
– Adaptive Methods
– Normalization Layers
– The Death of Optimization

Taught by

Alfredo Canziani

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