Differences in Keras vs Pytorch vs Scikit-Learn
Can any of this libraries be used to solve machine learning problems? What are the differences between them?
Can any of this libraries be used to solve machine learning problems? What are the differences between them?
scikit-learn is a library used very broadly for a lot of different problems. Keras and PyTorch are used more for neural networks. And yes, they can be used interchangeably.
When talking about Keras and PyTorch there is a major difference. Keras is a high-level deep learning network which hides from user many concepts and, therefore, is not as flexible. PyTorch is also a deep learning network, however it provides more access to the "guts" of a neural network. If you are going to work with deep learning you will have to choose one of them. Here`s a link to further information. https://towardsdatascience.com/keras-vs-pytorch-for-deep-learning-a013cb63870d
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