Deep Fashion dataset fine-grained analysis
Trained Bilinear CNN and other variants of VGG/Inception/Resnet to identify best performing architecture.
Correlations with customer data and purchase history were used to predict the type of item that can be purchased.
Note: Project implemented as a part of SAP Fellowship. Dataset: DeepFashion.
Github repository contains only a demo notebook.
