L8.5 Logistic Regression in PyTorch   Code Example @SebastianRaschka
L8.5 Logistic Regression in PyTorch   Code Example  @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: github.com/rasbt/stat453-deep-learning-ss21/blob/main/L08/code/logistic-regression.ipynb

-------

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

Next video: youtu.be/L0FU8NFpx4E

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
L8.5 Logistic Regression in PyTorch   Code ExampleL14.1: Convolutions and Padding13.0 Introduction to Feature Selection (L13: Feature Selection)Build A Reasoning Model (From Scratch), Page 198L12.0: Improving Gradient Descent-based Optimization   Lecture OverviewL13.3 Convolutional Neural Network BasicsL8.3 Logistic Regression Loss Derivative and TrainingL12.6 Additional Topics and Research on Optimization AlgorithmsL11.3 BatchNorm in PyTorch   Code ExampleL16.2 A Fully-Connected AutoencoderL16.0 Introduction to Autoencoders   Lecture OverviewL19.4.3 Multi-Head Attention
Sebastian Raschka |

L8.5 Logistic Regression in PyTorch -- Code Example

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER