I want to deepen my understanding of deep learning by imitating the sophisticated neural networks API, Keras.
There are two ways to install Kerasy:
- Install Kerasy from PyPI (recommended):
$ sudo pip install kerasy
- Alternatively: install Kerasy from the GitHub source:
$ git clone https://github.com/keras-team/keras.git $ cd keras $ sudo python setup.py install
Kerasy means "Keras" + "-y".
- Keras is a high-level neural networks API, written in Python.
- "-y" is a native English suffix of adjectives meaning "characterized by or inclined to" the substance or action of the word or stem to which the suffix is attached. It often plays a role like "ish", "esque", or "like".
Keras is my favorite library, so I wanted to imitate it and add more algorithms for in particular bioinformatics (which is my major.)
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Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. 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.