TensorFlow, theano and Keras are deep learning frameworks. TensorFlow and theano are more flexible and difficult to learn. They are actually a differentiator
.Keras is actually the interface between TensorFlow and Keras (Keras as the front end, TensorFlow or theano as the back end). It is also flexible and easy to learn. You can think of keras as an API encapsulated by tensorflow.
what do you mean by using Kears as the front end and tensorflow and theano as the back end?
tensorflow and theano are lower-level than Kears, while Kears encloses these underlying things into api that is easier to use.
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because there is no PyTorch tag at present, so TensorFlow is used. Would you like to add this tag to those with high reputation? Thanks tags () recently, I m going to use the VGG model to train the data, and then I want to use GPU, but I always repor...
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