Deep Learning with Keras

Keras is an open-source neural-network library written in Python. Do refer these interview questions to prepare yourself for next job role in data science.

Q.1 What is Keras?
Keras is a high level API built on TensorFlow (and can be used on top of Theano too). It is more user-friendly and easy to use as compared to TensofrFlow.
Q.2 Why is keras?
Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear and actionable feedback upon user error.
Q.3 Is keras a library?
Yes, Keras is an open-source neural-network library written in Python.
Q.4 Who invented keras?
François Chollet invented Keras and he is currently working as an AI Researcher at Google.
Q.5 What is flatten layer in keras?
The role of the Flatten layer in Keras is super simple: A flatten operation on a tensor reshapes the tensor to have a shape that is equal to the number of elements contained in the tensor.
Q.6 What is keras dropout?
Dropout is a regularization technique for neural network models proposed by Srivastava, it is a technique where randomly selected neurons are ignored during training.
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