L2.1 Artificial Neurons @SebastianRaschka
L2.1 Artificial Neurons  @SebastianRaschka
Uploaded February 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books

In this video, we will learn about artificial neurons such as perceptrons and Adaline as one of the earliest machine learning models and models that later evolved into multi-layer (deep) neural networks.

Slides: sebastianraschka.com/pdf/lecture-notes/stat453ss21/L02_dl-history_slides.pdf

-------

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

Next video: youtu.be/G7oqVqU5qsQ

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
L2.1 Artificial NeuronsFinetuning Open-Source LLMsL9.4 Overfitting and UnderfittingL9.5.2 Custom DataLoaders in PyTorch  Code Example13.1 The Different Categories of Feature Selection (L13: Feature Selection)L13.0 Introduction to Convolutional Networks   Lecture OverviewL19.5.2.1 Some Popular Transformer Models: BERT, GPT, and BART   OverviewL5.7 Training an Adaptive Linear Neuron (Adaline)L19.4.1 Using Attention Without the RNN   A Basic Form of Self-AttentionL8.4 Logits and Cross EntropyManaging Sources of Randomness When Training Deep Neural NetworksL16.3 Convolutional Autoencoders & Transposed Convolutions
Sebastian Raschka |

L2.1 Artificial Neurons

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER