sar-gupta/convisualize_nb
Visualisations for Convolutional Neural Networks in Pytorch
This tool helps deep learning practitioners understand how their Convolutional Neural Networks (CNNs) process images. It takes a trained PyTorch CNN model and an image as input, then generates visual explanations like layer outputs, filter activations, and saliency maps. Data scientists and AI researchers working with image recognition models would use this to debug and interpret their models.
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Use this if you need to visually inspect the internal workings of your PyTorch CNNs to understand their decision-making process for image-related tasks.
Not ideal if you are working with non-image data, or if your models are not built using PyTorch.
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87
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25
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 02, 2018
Commits (30d)
0
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