Fine-tuning an already learned model, adapts the architecture to other datasets
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Updated
Oct 18, 2017 - Python
Fine-tuning an already learned model, adapts the architecture to other datasets
Classifying Flowers using Transfer Learning and Data Augmentation
Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset
This Image Classification model helps you to recognized 102 kinds of flowers that are provided my Oxford University. I am using famous 102 oxford flower dataset.
Core ML image recognition app using the oxford102.caffemodel and a custom Python v2.7 script to convert it into FlowerClassifier.mlmodel
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