L13.0 Introduction to Convolutional Networks   Lecture Overview @SebastianRaschka
L13.0 Introduction to Convolutional Networks   Lecture Overview  @SebastianRaschka
Uploaded March 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books

Slides: sebastianraschka.com/pdf/lecture-notes/stat453ss21/L13_intro-cnn__slides.pdf

-------

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

Next video: youtu.be/1A6HViSXaqQ

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
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 ConvolutionsLLMs: A Journey Through Time and ArchitectureL6.0 Automatic Differentiation in PyTorch   Lecture OverviewL9.0 Multilayer Perceptrons   Lecture OverviewL11.1  Input NormalizationL15.5 Long Short-Term Memory
Sebastian Raschka |

L13.0 Introduction to Convolutional Networks -- Lecture Overview

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER