Machine learning newbs: TensorFlow too hard? Kick its ass with Keras

Keras, a popular deep learning library, has been updated with a new API to make it easier for developers to use machine learning in Python. Artificial intelligence is all the rage right now and techies are keen to explore ways they can use machine learning. Built in 2015 by Google software engineer and AI researcher François Chollet, Keras was designed to be used on top of TensorFlow and Theano – open-source software libraries developed by machine learning researchers at Google and the University of Montreal, Canada. The update, dubbed Keras 2, has been changed to adapt to TensorFlow API better, allowing developers to mix and match TensorFlow and Keras components together. Since the software runs on TensorFlow and Theano, there is no performance cost to using Keras compared to the other more complex frameworks. Keras is more specialized for deep learning than TensorFlow or Theano.