Python module for mathematical operations, matrix manipulations and neural network utilities using NumPy
Project description
Installation
pip install pymathnn
Utilization
Simple examples of user:
from pymathnn import Matrix
m1 = Matrix((3, 3), init='random')
m2 = Matrix((3, 3), init='uniform')
# Sum matrix
m3 = m1.add(m2)
# Product With Scalar
m4 = m1.multiply(2.5)
# Matrix Traspose
mt = m1.transpose()
# Statistics
print(m1.mean())
print(m1.norm())
m1.summary()
# Activation
m1 = Matrix((4,4))
print(m1)
m1.activation('relu')
print(m1)
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
pymathnn-0.1.1.tar.gz
(4.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pymathnn-0.1.1.tar.gz.
File metadata
- Download URL: pymathnn-0.1.1.tar.gz
- Upload date:
- Size: 4.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c9a05c0f7c9d8676b23637e136ea35e1e9fba6744b540b06314e805d0196c4fc
|
|
| MD5 |
c0729eb525ab32536ac4284471f6ab83
|
|
| BLAKE2b-256 |
5b03b24998c8abf8adf3d3c5f8827ad9aa50cb8872b4a40fd7b04f7d523aa8bb
|
File details
Details for the file pymathnn-0.1.1-py3-none-any.whl.
File metadata
- Download URL: pymathnn-0.1.1-py3-none-any.whl
- Upload date:
- Size: 5.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1eb6d38c6eb7a2566646c92613de468971aae20bcacdd5da911ef507c80a05ce
|
|
| MD5 |
3ad99fe50a4bcf55a956f06ffff917b2
|
|
| BLAKE2b-256 |
ad2cd8f854cecda81e3ec7f0503751745326eab7ccd5e85d7ceec211da72239b
|