Skip to content
Built image classification deep learning architectures - AlexNet, VGG16, and ResNet using transfer learning and fine-tuning in PyTorch. Final model accuracies achieved are AlexNet-81.2%, VGGNet-85.6%, ResNet-84.7% on 10K test images.
Python
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
README.md
adaboost.py
adaboost_model.txt Updated Version 3.1.0 Nov 24, 2019
adaboost_output.txt Updated Version 3.1.0 Nov 24, 2019
best.py
best_model.txt.npy Updated Version 3.1.0 Nov 24, 2019
best_output.txt Updated Version 3.1.0 Nov 24, 2019
nearest.py Updated Version 3.1.0 Nov 24, 2019
nearest_model.txt.npy Updated Version 3.1.0 Nov 24, 2019
nearest_model.txt.npy.zip Updated Version 3.1.0 Nov 24, 2019
nearest_output.txt
nnet.py Updated Version 3.1.0 Nov 24, 2019
nnet_model.txt.npy Updated Version 3.1.0 Nov 24, 2019
nnet_output.txt Updated Version 3.1.0 Nov 24, 2019
orient.py

README.md

Built image classification deep learning architectures - AlexNet, VGG16, and ResNet using transfer learning and fine-tuning in PyTorch. Final model accuracies achieved are AlexNet-81.2%, VGGNet-85.6%, ResNet-84.7% on 10K test images.

You can’t perform that action at this time.