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 lptypes 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-0.0.2.1.tar.gz
(3.9 kB
view details)
Built Distribution
File details
Details for the file lpynn-0.0.2.1.tar.gz
.
File metadata
- Download URL: lpynn-0.0.2.1.tar.gz
- Upload date:
- Size: 3.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bc5390264b604b059ff052957bca22f5a595c52035cac6c53dd32b2b2181972b |
|
MD5 | 80dea6eef5697d29279b423790fcd18f |
|
BLAKE2b-256 | d9bd4459bc06e9195ccf5e4b54be36365334182ba7597ed3400846699b7e1e1a |
File details
Details for the file lpynn-0.0.2.1-py3-none-any.whl
.
File metadata
- Download URL: lpynn-0.0.2.1-py3-none-any.whl
- Upload date:
- Size: 4.0 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 | 1fa467c22d79226e4fc9869d3393461595cb3fa7f9bca83c18b32e885c22764f |
|
MD5 | db5060d6dd319b137be08b63b0db5cd7 |
|
BLAKE2b-256 | 0fbe9c7caabcb623d5a296b84aeb2fcc8d7bd13ed6ff739753613871e135e0b9 |