deadskull7 / Cats-Vs-Dogs-CNN-using-Keras-
The training set consisted of 25,000 images out of which 5,000 images were taken out as validation data. Separate test data folder consisted of 12,500 images for which the labels were predicted using trained model. My work includes preprocessing for model, Data augmentation to prevent overfitting, callbacks in keras to reduce learning rate timel…
☆14Updated 6 years ago
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