Machine learning using the Keras Python library
This session introduces the Keras Python library that can simplify machine learning. The Keras framewor achieves its goal to be user-friendly, modular, extensible. Keras not only works with Tensorflow library, it also works other libraries such as CNTK and Theano.
We will explore the facilities of Keras framework that provides a higher-level abstraction than the Tensorflow Python library. For example, instead of having to create an elaborate computation graph in Tensorflow with several steps, using the Keras library can reduce the necessary amount of steps by 60% or more.
We will use several practical examples of machine learning such as the random forest method, the recurrent neural network and convolution neural network as demonstration of the use of Keras library.
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