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

devquora
devquora

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

    Related Questions

    Please Login or Register to leave a response.

    Related Questions

    TensorFlow Interview Questions

    What is TensorFlow? Please Explain

    TensorFlow is a platform where one can learn machine learning / deep learning/multilayer neural networks from the Google library. Libraries that use data science are helpful to describe complex networ...

    TensorFlow Interview Questions

    Enlist few major features of the TensorFlow.

    Below are major features of TensorFlow:TensorFlow has the biggest ability is to build neural networks using which machines can develop logical thinking and learning analogous to humans. It is one...

    TensorFlow Interview Questions

    What are the tensors ? How many types of tensors are available?

    Tensors can be thought of as vectors and matrices of higher dimensions. They represent n-dimensional arrays of base data-type. Each element of a tensor is of the same data-type which is always known. ...