Deep Learning IPython notebooks

Training Custom Object Detector using yolov3

Training Transfer learning based classifier to classify benign/malignant tumor on Warwick-QU dataset on MobileNetV2

Using Otsu’s method to generate data for training of deep learning image segmentation models.

Multi class classifier to recognize sign language

Horses and humans classification using pre-trained InceptionV3 Network

Simple GAN trained on MNIST dataset

Simple GAN trained on MNIST dataset

Classify cats and dogs

Blurring image using opencv

Thresholding image using opencv

Handwriting digits recognition on MNIST without convolutions

Classification of Natural Scenes.

Implementaion of unet in keras.

Using Mask RCNN to segment images

Download dataset from kaggle to local system.

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

MIT