About Flexible Feature visualization on PyTorch, for research and art 🔎 💻 🧠 🎨

Jun 17, 2020 · After passing over an image, a filter produces a feature map which we can visualise. In this post, I’ll explain how to produce the following visualisations of our CNN layers, …

Jun 7, 2019 · GitHub Gist: instantly share code, notes, and snippets.

Apr 24, 2025 · In this Tutorial, we will walk through interpreting and visualizing feature maps in PyTorch. What are Feature Maps? Feature maps enable us to capture the output activations …

Mar 17, 2025 · Flexible Feature visualization on PyTorch, for research and art 🔎 💻 🧠 🎨. Notebooks for learning about the layers of a convolutional neural network. Filter visualization, Feature map …

Convolutional layers typically have many feature maps, each specified by a separate set of parameters. We will mostly focus on finding inputs a′ a ′ that maximally activate a single …

Jul 16, 2021 · In this blogpost I implemented feature visualization and layed the foundation for my implementation of neural style transfer. My implementation of feature visualization follows the …

Dec 19, 2022 · In this notebook, we are going to use autoencoder architecture in Pytorch to reduce feature dimensions and visualiations. First, to install PyTorch, you may use the …

Jul 24, 2023 · I recently released a new package, TorchLens, for extracting hidden layer activations and visualizing arbitrary PyTorch models. Here’s the bullet point pitch for anyone …

This repository is about the code to extract cnn layers and visualise the filters and featuremaps. Filters are set of weights which are learned using the backpropagation algorithm. If you do alot …