The library that makes neural networks appear
Project description
Pear is a library that aims at offering a visual representation of neural networks. It can read networks built using Google’s TensorFlow in and, for each requested layer, draw the associated decision boundaries.
Pear is still in the development process.
To use, do: >>> import pearlib
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pearlib-0.1.tar.gz
(9.8 kB
view hashes)
Built Distribution
pearlib-0.1-py2.py3-none-any.whl
(17.0 kB
view hashes)
Close
Hashes for pearlib-0.1-py2.py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 2f6dbb07a3cf821db773aca9302d7425f58a3badf34b6b9d6784dacbbdaf9706 |
|
| MD5 | e2332e93d7a7541201f36b756a9ac711 |
|
| BLAKE2b-256 | d53c88556d6c7a06729fabffe63cc7947156d66fc920bbce993c0031c2fba242 |
