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algorithm to classify whether images contain either a dog or a cat.

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chandrarishabh/DogsVsCats

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Dogs vs. Cats

Dataset taken from kaggle. The training archive contains 25,000 images of dogs and cats.

Implemented a CNN architecture using tensorflow.keras and trained the model on google colab.

Accuracy

Training data: 99.26%

Testing data: 96.39%

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algorithm to classify whether images contain either a dog or a cat.

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