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)
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Release files for pymathnn 0.2.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pymathnn-0.2.9.tar.gz | 9.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pymathnn-0.2.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.1 kB
Release files / pymathnn-0.2.9.tar.gz
| Download URL | pymathnn-0.2.9.tar.gz |
|---|---|
| Size | 9.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.11.2
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Release files / pymathnn-0.2.9-py3-none-any.whl
| Download URL | pymathnn-0.2.9-py3-none-any.whl |
|---|---|
| Size | 11.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.2
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