An accurate image classifier which implements a deep convolutional neural network to classifying an image input into different categories, reached an accuracy of over 90% through data-augmentation and fine-tuning the top layers of a pre-trained network.
- TensorFlow 1.2
- Keras
- VGG16
Uses Kaggle's cats vs. dogs dataset