Enlist a few major differences between the Keras,TensorFlow and PyTorch.

Sharad Jaiswal
Sharad Jaiswal

Posted On: Feb 22, 2018

 

A few major differences between the Keras, Tensor flow and PyTorch are as follows

S. No.Criteria of classificationKerasTensorFlowPyTorch
1.Based on platformKeras is an open source platform for deep learning and neural network building that is designed to run over TensorFlowThe TensorFlow is an open-source library designed for dataflow programming.The PyTorch is an open source machine learning library designed for Python, which is based on Torch.
2.Based on APIThe Keras is designed with a high level of API and designed to run on top of TensorFlow and the PyTorch.The TensorFlow is designed to provide both high and low APIs.The PyTorch generally. operates with lower APIs.
3.Based on the ArchitectureBased on the readability and ease of use Keras is the best.The TensorFlow is at the middle level in between the Keras and the PyTorch on the basis of architecture.The PyTorch comes at the lowest level based on the ease of usage and readability.
4.Based on Debugging criteriaThe Keras, very less requires debugging.TensorFlow is at the middle level in between the PyTorch and the Keras based on Debugging criteria.The PyTorch has the best debugging facilities amongst the three

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