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-0.2.4.tar.gz
(7.4 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-0.2.4.tar.gz.
File metadata
- Download URL: pymathnn-0.2.4.tar.gz
- Upload date:
- Size: 7.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
691cf2196b877cae163055672b9031dfdc24f8265c5a52faa0b8b244deb495da
|
|
| MD5 |
b1a4cf30e3d6aa09c00a7f7a092f0c80
|
|
| BLAKE2b-256 |
094deab5871f3efdf4c4e17c7046a80aa041cb691c7c6fafdb4c854de5f2a356
|
File details
Details for the file pymathnn-0.2.4-py3-none-any.whl.
File metadata
- Download URL: pymathnn-0.2.4-py3-none-any.whl
- Upload date:
- Size: 9.0 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 |
11625f01f209a103aaa80157fdc0aab5a10b26eb677e33ea5f03261a25690cd4
|
|
| MD5 |
db2ac064935b22a03f079843757fa1ef
|
|
| BLAKE2b-256 |
22c5fe1488683e83bd8fffac19c96887758f1641920e8eba46d199b278009c3c
|