Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set

Robert Krug

Last update: Feb 6, 2022

Related tags

Deep Learning Unsupervised-Bee-Detection-with-CAM

Overview

Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set

This is the repository for the Deep Learning project "Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set" (2022).

For information about the data set and the trained weights contact our team or the owner of this repository (Robert Krug).

The stored weights of the different network configuration can be accessed here.

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Owner

Robert Krug

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Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set

Related tags

Overview

Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set

You might also like...

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

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Automatic labeling, conversion of different data set formats, sample size statistics, model cascade

PyTorch implementation of the end-to-end coreference resolution model with different higher-order inference methods.

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