Welcome to Kerasy

Kerasy: The Python Deep Learning library

"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.

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Why I made Kerasy

I study deep learning, and machine learning theory at a University, and have practical experiences in internships, hackathons, and competitions.

Through those experiences, I felt I wanted to go further, next step, building my original model, which is different from the conventional one (NN, CNN, RNN, ..., backpropagation series.)

On the other hand, I thought it is extremely important to understand the conventional one properly, so by building the framework on my own, I try confirming my understanding of them.

As it is too hard to build a deep learning framework from scratch, I decided to imitate Keras, one of the most popular frameworks.

Future prospects

I am particularly interested in "synthetic biology" (redesigning, or remodeling organisms by engineering them to have new abilities) and "neuroscience" (Back-engineering the flexibility of brain structure concerned with mechanism of memory, pattern recognition, and so on). Therefore, I want to study deeply about them and apply them for Human augmentation purpose to create the more wonderful world.