L14.0: Convolutional Neural Networks Architectures   Lecture Overview @SebastianRaschka
L14.0: Convolutional Neural Networks Architectures   Lecture Overview  @SebastianRaschka
Uploaded April 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books

Slides: sebastianraschka.com/pdf/lecture-notes/stat453ss21/L14_cnn-architectures_slides.pdf

-------

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

Next video: youtu.be/6v05kAtV1M0

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
L14.0: Convolutional Neural Networks Architectures   Lecture OverviewL19.5.2.6 BART:  Combining Bidirectional and Auto-Regressive TransformersL5.3 An Iterative Training Algorithm for Linear RegressionDeep Learning News #3, Feb 13 2021Twitter Posts Political Ideology Classification (Student Presentation, Group 15)Build an LLM from Scratch 2: Working with text dataL16.4 A Convolutional Autoencoder in PyTorch   Code ExampleL11.2 How BatchNorm WorksL4.0 Linear Algebra for Deep Learning   Lecture OverviewL4.3 Vectors, Matrices, and BroadcastingL5.2 Relation Between Perceptron and Linear RegressionL10.5.3 (Optional) Dropout Ensemble Interpretation
Sebastian Raschka |

L14.0: Convolutional Neural Networks Architectures -- Lecture Overview

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER