Deep Learning : Dogs vs Cats

  • Applied Deep Learning models, like CNN, on real-world problems, using the techniques that I learned in the Machine Learning Nanodegree to classify dogs and cats.
  • Used Transfer Learning by fine-tuning a pre-trained VGG-16 model on the dataset, achieving an accuracy of 98%

Github

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