L10.5.4 Dropout in PyTorch @SebastianRaschka

L10.5.4 Dropout 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 example: github.com/rasbt/stat453-deep-learning-ss21/blob/main/L10/code/dropout.ipynb

L10.5.4 Dropout in PyTorch

L15.1: Different Methods for Working With Text Data

13.2 Filter Methods for Feature Selection Variance Threshold (L13: Feature Selection)

LLM Building Blocks & Transformer Alternatives

L19.3 RNNs with an Attention Mechanism

L8.9 Softmax Regression Code Example Using PyTorch

Deep Learning News #4, Feb 20 2021

L18.2: The GAN Objective

13.4.3 Feature Permutation Importance Code Examples (L13: Feature Selection)

L13.9.3 AlexNet in PyTorch

L11.7 Weight Initialization in PyTorch Code Example

L8.1 Logistic Regression as a Single-Layer Neural Network

Sebastian Raschka |

L10.5.4 Dropout in PyTorch