What is the difference between Tensorflow and Keras .Please explain in easy words please give me diagrams and figures to explain the difference between both using very lucid words .
PLEASE DO NOT COPY PASTE FROM NET BECAUSE I AM NOT UNDERSTANDING.
Tensorflow is a free and open-source software library developed by Google Brain Team.
It is a library used for machine learning applications and running machine learning algorithms using a computation graph. Computation graph is built by taking tensors ( multidimensional arrays) as input(edges of the graph) and operations(as nodes of the graph).
Tensorflow is written in python, C++ and CUDA
Tensorflow is for numerical computing.
Keras is an open-source library for developing neural networks.
It is possible to use keras in tensorflow code
Keras is written in Python.
Keras is for neural network application and develop deep learning models
What is the difference between Tensorflow and Keras .Please explain in easy words please give me...
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