L8.8 Softmax Regression Derivatives for Gradient Descent @SebastianRaschka
L8.8 Softmax Regression Derivatives for Gradient Descent  @SebastianRaschka
Uploaded February 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books

Slides: sebastianraschka.com/pdf/lecture-notes/stat453ss21/L08_logistic__slides.pdf

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This video is part of my Introduction of Deep Learning course.

Next video: youtu.be/mM6apVBXGEA

The complete playlist: youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51

A handy overview page with links to the materials: sebastianraschka.com/blog/2021/dl-course.html

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L8.8 Softmax Regression Derivatives for Gradient DescentL17.5 A Variational Autoencoder for Handwritten Digits in PyTorch   Code ExampleL5.1 Online, Batch, and Minibatch ModeL12.5 Choosing Different Optimizers in PyTorchL9.3.3 Multilayer Perceptron in PyTorch   Code Example Part 3/3 (Script Setup)L18.4: A GAN for Generating Handwritten Digits in PyTorch   Code ExampleL3.0 Perceptron Lecture OverviewL12.4 Adam: Combining Adaptive Learning Rates and MomentumL19.6 DistilBert Movie Review Classifier in PyTorch   Code ExampleL19.1 Sequence Generation with Word and Character RNNsL12.3 SGD with MomentumL2.1 Artificial Neurons
Sebastian Raschka |

L8.8 Softmax Regression Derivatives for Gradient Descent

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