SNagappan

##Model

This is an implementation of C3D trained on the UCF101 dataset.

Model script

The model training script train.py will train an action recogition model from scratch on the UCF101 dataset.

Dependencies

The preprocessor and data loader require OpenCV which can be installed with apt-get.

SNagappan

##Model

This is an implementation of Facebook's baseline GRU/LSTM model on the bAbI dataset Weston et al. 2015. It includes an interactive demo.

The bAbI dataset contains 20 different question answering tasks.

Model script

The model training script train.py and demo script demo.py are included below.

Instructions

SNagappan

    NSDictionary *charge = [NSDictionary        dictionaryWithObjectsAndKeys:
                            @"Peter",       @"name",
                            @"2345678909",  @"phone",
                            @"US",          @"country_code",
                            @"MC0000014895",   @"merchant_id",
                            @"20.00",   @"amount",
                            @"USD",   @"currency",
                            @"http://localhost:8000/test",   @"server_url",
                            @"13123132",   @"order_id",
                            @"PierShop",   @"shop_name",nil];