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Computing Gradient for Larger Neural Networks, Applying MSE Cost Function and Using Batch Training
Deep Learning by Gradient Descent
Gradient Descent For Neural Networks (C1W3L09)
Deep Learning(CS7015): Lec 5.9 Gradient Descent with Adaptive Learning Rate
Deep Learning(CS7015): Lec 3.4 Learning Parameters: Gradient Descent
Lec 09 Optimizers SGD, Mini batch, Momentum, Adagrad, ADAM (Deep Learning Course)
Review of Gradient Application in Deep Learning
Lecture 8 - Optimizer for Deep Learning
Deep Learning(CS7015): Lec 4.5 Backpropagation: Computing Gradients w.r.t. the Output Units
Deep Learning - 10.1 (Graph Neural Networks: Machine Learning on Graphs)
Deep Learning - Lecture 2.3 (Computation Graphs: Backpropagation)
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Last Updated: August 15, 2026
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