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cnn_dog_cat's Introduction

A CNNs based binary image classifier of cat and dog images.

In preprocessing, the batch size is set to 32 and image shape is set to 64*64

The model is based on TensorFlow CNNs and after the CNNs processing, the data is flattened for fully connected layers

By sigmoid activation function the output is represented

Adam Optimizer and Binary Cross Entropy loss is applied then trained for 50 epochs

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