Enlist a few major differences between the Keras,TensorFlow and PyTorch.
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Posted On: Feb 22, 2018
A few major differences between the Keras, Tensor flow and PyTorch are as follows
| S. No. | Criteria of classification | Keras | TensorFlow | PyTorch |
| 1. | Based on platform | Keras is an open source platform for deep learning and neural network building that is designed to run over TensorFlow | The 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 API | The 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 Architecture | Based 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 criteria | The 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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