Image Feature Engineering using Transfer Learning in Keras

tutorial

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This project builds an image classifier that is trained and tested using features extracted through transfer learning of the pre-trained MobileNet model. Through a step-by-step guide, you will understand how to transfer learning of MobileNet to a new dataset which is the Fruits360 dataset. Throughout the discussion, the benefit of transfer learning will be clear.


This is a companion discussion topic for the original entry at https://blog.paperspace.com/image-feature-engineering-using-transfer-learning-in-keras

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