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Image Classification

Dog vs Cat Classifier

This is a project for Image Classification of Dogs & Cats. The Classifier was built using Convolutional Neural Network and the network architecture was AlexNet.

Database

Dog vs Cat dataset was downloaded from Kaggle.

Dataset Properties

The Training set has 25,000 images;
The Testing set has 12,500 images;

Dependencies

  • Python 3.6.2
  • TensorFlow
  • TFLearn

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