This repository consists of jupyter notebooks which show experiments being done on 1-10% of the food vision dataset, to find the optimum model design. This is later progressed into a full model which is trained on the entire dataset, in the final version an augmented layer with pre trained efficientnet weights is used which has the last 5 layers unfrozen and set to trainable.
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This repository consists of jupyter notebooks which show experiments being done on 1-10% of the food vision dataset, to find the optimum model design. This is later progressed into a full model which is trained on the entire dataset.
ikiiftekhar2/FoodVision
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This repository consists of jupyter notebooks which show experiments being done on 1-10% of the food vision dataset, to find the optimum model design. This is later progressed into a full model which is trained on the entire dataset.
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