This is a project for Image Classification of Dogs & Cats. The Classifier was built using Convolutional Neural Network and the network architecture was AlexNet.
Dog vs Cat dataset was downloaded from Kaggle.
The Training set has 25,000 images;
The Testing set has 12,500 images;
- Python 3.6.2
- TensorFlow
- TFLearn