L8.1 Logistic Regression as a Single-Layer Neural Network @SebastianRaschka
L8.1 Logistic Regression as a Single-Layer Neural Network @SebastianRaschka
Uploaded February 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books

Despite having "regression" in its name, logistic regression is a binary classifier. This means that it was originally developed for classification tasks with two possible class labels. In this video, we are going over the logistic regression basics and see that we can view it as a single-layer neural network.

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/GxJe0DZvydM

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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L8.1 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 PyTorchL14.3.2.1 ResNet OverviewBuilding LLMs from the Ground Up: A 3-hour Coding WorkshopThe Big LLM Architecture ComparisonInsights from Finetuning LLMs with Low-Rank AdaptationL14.5 Convolutional Instead of Fully Connected LayersL13.4 Convolutional Filters and Weight-Sharing
Sebastian Raschka |

L8.1 Logistic Regression as a Single-Layer Neural Network

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