Deeplearning

An introduction on deeplearning(Chainer)

Installation:

1. Install chainer: pip install --user chainer==2.0.0

2. Install cupy: pip install --user cupy==1.0.0.1

Prep data

• Download the dataset from here
• Generate input txt for each dataset using gen.py python gen.py -d <path to extracted data>

Training

• Select the model file and update it in main.py
• Change other parameter(optional):
  • Learning rate
  • Optimizer(Other meta params depending upon the optimizer selected).
  • Number of epoch
  • batch size
• Run python main.py -h to learn about configurable params
• Start training python main.py -o <output directory> -d <dataset txt file>

Alexnet model http://dl.caffe.berkeleyvision.org/bvlc_reference_caffenet.caffemodel