L10.2 Data Augmentation in PyTorch @SebastianRaschka

L10.2 Data Augmentation in PyTorch @SebastianRaschka

Uploaded March 2021 | Updated September 2026, 2 weeks ago

Sebastian's books: sebastianraschka.com/books

Slides: sebastianraschka.com/pdf/lecture-notes/stat453ss21/L10_regularization__slides.pdf

Code notebook: github.com/rasbt/stat453-deep-learning-ss21/blob/main/L10/code/data-augmentation.ipynb

L10.2 Data Augmentation in PyTorch

L14.3.2.1 ResNet Overview

Building LLMs from the Ground Up: A 3-hour Coding Workshop

The Big LLM Architecture Comparison

Insights from Finetuning LLMs with Low-Rank Adaptation

L14.5 Convolutional Instead of Fully Connected Layers

L13.4 Convolutional Filters and Weight-Sharing

Deep Learning News #10, Apr 3 2021

L17.6 A Variational Autoencoder for Face Images in PyTorch Code Example

L12.2 Learning Rate Schedulers in PyTorch

L5.4 (Optional) Calculus Refresher I: Derivatives

L19.2.2 Implementing a Character RNN in PyTorch Code Example

Sebastian Raschka |

L10.2 Data Augmentation in PyTorch