After preparing training dataset the next step is to train CNN model, earlier we used Caffe training model, but later on switched to Tensorflow since it reduces building training and deploying models with production ready serving platform and supports high level API's like Keras and TFlearn. Keras a high-level neural networks API, written in Python and capable of running on top of either TensorFlow, CNTK, MXNet or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research. Convolutional Neural Networks (CNN), a technique within the broader Deep Learning field, have been a revolutionary force in Computer Vision applications, especially in the past half-decade or so.