L13.3 Convolutional Neural Network Basics @SebastianRaschka

L13.3 Convolutional Neural Network Basics @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

L13.3 Convolutional Neural Network Basics

L8.3 Logistic Regression Loss Derivative and Training

L12.6 Additional Topics and Research on Optimization Algorithms

L11.3 BatchNorm in PyTorch Code Example

L16.2 A Fully-Connected Autoencoder

L16.0 Introduction to Autoencoders Lecture Overview

L19.4.3 Multi-Head Attention

L14.4.2 All-Convolutional Network in PyTorch Code Example

L3.1 About Brains and Neurons

Deep Learning News #8 Mar 20 2021

L19.5.2.4 GPT-v2: Language Models are Unsupervised Multitask Learners

L3.2 The Perceptron Learning Rule

Sebastian Raschka |

L13.3 Convolutional Neural Network Basics