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Mar 28, 2015
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Typo fixes #2

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4 changes: 2 additions & 2 deletions README.md
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## You have just found Keras.

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.
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.

Use Keras if you need a deep learning library that:
- allows for easy and fast prototyping (through total modularity, minimalism, and extensibility).
- supports both convolutional networks (for vision) and recurrent networks (for sequence data). As well as combinations of the two.
- runs seemlessly on the CPU and the GPU.
- runs seamlessly on the CPU and the GPU.

## Guiding principles

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