Image Classification using Convolutional Neural Networks with a dataset from the filesysetm

Examples inside this folder show how to train CNN models using SINGA for image classification.

It read the dataset from the filesystem defined by process_data.py. Hence, users can modify process_data.py for their perference of dataset format.

Before running the code, the model folder in examples/cnn should be copied to this directory.

• train_largedata.py is the training script, which controls the training flow by doing BackPropagation and SGD update.

• train_mpi.py is the script for distributed training (among multiple nodes) using MPI and NCCL for communication.