dhnn 0.1.7

Discrete Hopfield Network (DHNN) implemented with Python

DHNN

DHNN is a minimalistic and Numpy based implementation of the Discrete Hopfield Network. DHNN can learn (memorize) patterns and remember (recover) the patterns when the network feeds those with noises.

Installation

Just use pip:

pip install minisom

Or download dhnn to a directory which your choice and use setup to install script:

python setup.py install

Prerequisites

Prior to running this package, please install the following libraries.

• numpy

Example (Image Restoration)

Step1

Input a neat picture like this(yosukekatada's smile face).

Step2

Get the network to memorize the pattern, this program will automatically transform RGB Jpg into black-white picture.

Step3

After the network memorized it, put the picture with noise like this(yosukekatada's smile face with sunglasses) into the network.

Step4

The network can strip off the sunglasses, because the network ready remembers the former picture.

Authors

yosukekatada	Zeroto521

TODO

• more flag, add 0/1 flag or other flag.
• optimize loop, try numba, Cpython or any other ways.
• optimize memory.

License

MIT License. @yosukekatada, @Zeroto521

References

• http://rishida.hatenablog.com/entry/2014/03/03/174331