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Kaggle Projects

Table of Contents

  1. [Cats and Dogs](#Cats and Dogs)

Cats and Dogs

Implementation a Binary Classifier to recognize pets (cats or dogs) in an image. Check out my kernel here The model is a trimmed version of VGG16 with 1 dilated convolution layer and a single FC layer that uses swish activation function.

Trainable params: 360,865

Distribution of Image Height-to-Width Ratio for cats and dogs class

  • Training: After 8 Epochs ==> loss: 0.2833 - acc: 0.8794 - val_loss: 0.4017 - val_acc: 0.8215

  • Prediction


Contact: Let me know if you have questions/suggestions. Feel free to connect with me on LinkedIn.

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