Keras in Python by R4R Team

What Is Keras?

-Keras is considered as one of the coolest machine learning libraries in Python.
-It provides an easier mechanism to express neural networks.
-It provide some graph mechanism that are used in Data science in python.
-In the backend, Keras uses either Theano or TensorFlow internally. Some of the most popular neural networks like CNTK can also be used. Keras is comparatively slow when we compare it with other machine learning libraries. Because it creates a computational graph by using back-end infrastructure and then makes use of it to perform operations. All the models in Keras are portable.

Features Of Keras:

-It runs on CPU and GPU smoothly
-It supports almost every concept or models of the neural network
-Keras is a completely Python-based framework, which makes it easy to debug and explore.

Where Is Keras Used?

You are already constantly interacting with features built with Keras it is in use at Netflix, Uber, Yelp, Instacart, Zocdoc, Square, and many others. It is especially popular among startups that place deep learning at the core of their products.




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