Neural Network visualization tool
Project description
Eiffel2
current version: 0.0.3
Next release: 19/11/2020
Neural Network architecture Visualization tool : Github
You can use eiffel2, which you can install using pip:
python -m pip install eiffel2
to update eiffel:
python -m pip install eiffel2 --upgrade
Just import builder from eiffel and provide a list of neurons per layer in your network as an input.
Example:
from eiffel2 import builder
builder([1, 10, 10, 5, 5, 2, 1])
# or the following if you want to have a dark theme
builder([1, 10, 10, 5, 5, 2, 1], bmode="night")
output: (normal mode)
output: (with bmode="night')
COLORS:
You can add colors to your network with the net_colors variable in builder() , keep in mind that for a n layer network you must select n-1 colors Eiffel2 is compatible with vanila python colors ("red","blue") and Hex colors
EXAMPLE
from eiffel2 import builder
builder([1,6,6,5,2],net_colors=["#581845","#900C3F","red","#FF5733"])
output:
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file eiffel2-0.0.3.1.tar.gz
.
File metadata
- Download URL: eiffel2-0.0.3.1.tar.gz
- Upload date:
- Size: 3.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1872def5cb909298c3b17cc04d50997a1b908e2ff4dd993d4e4844fe060f49a0 |
|
MD5 | 0b88146424ac09678675a80e68adc18a |
|
BLAKE2b-256 | 8b7d84c8639c6b61e26d810c358a98c75420969b6633755b6704ccb7cb562f10 |
File details
Details for the file eiffel2-0.0.3.1-py3-none-any.whl
.
File metadata
- Download URL: eiffel2-0.0.3.1-py3-none-any.whl
- Upload date:
- Size: 4.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1ec45d5522105066ab19136900801952e7e52096f34a3faf182a4f3ee2619891 |
|
MD5 | e3f5c4b76839d12ca98441c9d515b180 |
|
BLAKE2b-256 | 5b26969183b4255050e447938e1fe3243682bfcc272e98f8118ecf2b64b50494 |