L8.9 Softmax Regression   Code Example Using PyTorch @SebastianRaschka
L8.9 Softmax Regression   Code Example Using PyTorch  @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

Code examples

Softmax from scratch: github.com/rasbt/stat453-deep-learning-ss21/blob/main/L08/code/softmax-regression_scratch.ipynb

Softmax regression applied to MNIST: github.com/rasbt/stat453-deep-learning-ss21/blob/main/L08/code/softmax-regression-mnist.ipynb

-------

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

Next video: youtu.be/jD6IKpqSJM4

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

-------

If you want to be notified about future videos, please consider subscribing to my channel: youtube.com/c/SebastianRaschka
L8.9 Softmax Regression   Code Example Using PyTorchDeep Learning News #4, Feb 20 2021L18.2: The GAN Objective13.4.3 Feature Permutation Importance Code Examples (L13: Feature Selection)L13.9.3 AlexNet in PyTorchL11.7 Weight Initialization in PyTorch   Code ExampleL8.1 Logistic Regression as a Single-Layer Neural NetworkThe Three Elements of PyTorchL6.2 Understanding Automatic Differentiation via Computation GraphsL17.3 The Log-Var TrickL15.0: Introduction to Recurrent Neural Networks   Lecture OverviewL10.2 Data Augmentation in PyTorch
Sebastian Raschka |

L8.9 Softmax Regression -- Code Example Using PyTorch

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER