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Merge pull request #2 from cosmith/patch-1
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README.md

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## You have just found Keras.
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Keras is a minimalist, highly modular neural network library in the spirit of Torch, written in Python / Theano so as not to have to deal with the derth of ecosystem in Lua. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.
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Keras is a minimalist, highly modular neural network library in the spirit of Torch, written in Python / Theano so as not to have to deal with the dearth of ecosystem in Lua. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.
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Use Keras if you need a deep learning library that:
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- allows for easy and fast prototyping (through total modularity, minimalism, and extensibility).
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- supports both convolutional networks (for vision) and recurrent networks (for sequence data). As well as combinations of the two.
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- runs seemlessly on the CPU and the GPU.
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- runs seamlessly on the CPU and the GPU.
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## Guiding principles
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