L2.3 The Origins of Deep Learning @SebastianRaschka
L2.3 The Origins of Deep Learning @SebastianRaschka
Uploaded February 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books

Given that multilayer neural networks have been around for several decades, why did they experience this big gain in popularity in recent years? In this video, we will discuss the transition from training multilayer neural networks the conventional way to training deep neural networks on a GPU.

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

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

Next video: youtu.be/TMCNkeJGIfg

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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If you want to be notified about future videos, please consider subscribing to my channel: youtube.com/c/SebastianRaschka
L2.3 The Origins of Deep LearningL19.5.1 The Transformer ArchitectureL11.4 Why BatchNorm WorksL10.4 L2 Regularization for Neural NetsL13.9.2 Saving and Loading Models in PyTorchReinforcement Learning with Human Feedback (RLHF) in 4 minutesL19.5.2.5 GPT-v3: Language Models are Few-Shot LearnersL13.5 Whats The Difference Between Cross-Correlation And Convolution?L11.0 Input Normalization and Weight Initialization Lecture OverviewBuild an LLM from Scratch 1: Set up your code environment13.3.2 Decision Trees & Random Forest Feature Importance (L13: Feature Selection)L13.9.1 LeNet-5 in PyTorch
Sebastian Raschka |

L2.3 The Origins of Deep Learning

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