A basic neural networks python package
Project description
lpynn
This is a basic neural network package consisting of a single perceptron node. It can do binary classification.
Usage
Example:
from lpynn.perceptron import init_perceptron, print_perceptron, normalize_input_vectors, Perceptron, train_dataset
from lpython import i32, f64
def main0():
p: Perceptron = Perceptron(0, [0.0], 0.0, 0, 0.0, 0.0, 0)
init_perceptron(p, 2, 0.05, 10000, 90.0)
print_perceptron(p)
print("=================================")
input_vectors: list[list[f64]] = [[-1.0, -1.0], [-1.0, 1.0], [1.0, -1.0], [1.0, 1.0]]
outputs: list[i32] = [1, 1, 1, -1]
normalize_input_vectors(input_vectors)
train_dataset(p, input_vectors, outputs)
print_perceptron(p)
main0()
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
lpynn-0.0.1.4.tar.gz
(4.8 kB
view details)
Built Distribution
File details
Details for the file lpynn-0.0.1.4.tar.gz
.
File metadata
- Download URL: lpynn-0.0.1.4.tar.gz
- Upload date:
- Size: 4.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5e2a4ce7203c19c0f17a47952aefd05096497e4cda12f0a8849bae405acd0e3e |
|
MD5 | 0a59b5d3f77aada90938fc60111f4dc0 |
|
BLAKE2b-256 | bbe5351e2608a5ff2a6ae7c24f82b282539d9ab8d8251aae5a0bbf77f05e2e72 |
File details
Details for the file lpynn-0.0.1.4-py3-none-any.whl
.
File metadata
- Download URL: lpynn-0.0.1.4-py3-none-any.whl
- Upload date:
- Size: 5.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3f7be19aee4abef8263b15d5320b05546047ef4d2d4140cfcf753bf654be2390 |
|
MD5 | 65df7efe1954f3bebb0d8633bfd89456 |
|
BLAKE2b-256 | d04ede7ea43e33bf0f3c57d056ea1878250e73ecb071c1b4c10ea900cb27cc19 |