Skip to main content

Keras inspired pure python neural network library

Project description

txnet

Keras inspired pure python neural network library

from txnet.models import Sequential
from txnet.layers import Dense, ReLU, Sigmoid

import numpy as np
x = np.array([
  [1, 1],
  [0, 1],
  [1, 0],
  [0, 0]
])

y = np.array([[0], [1], [1], [0]])

model = Sequential()
model.add(Dense(2, 5, 0.01))
model.add(ReLU())
model.add(Dense(5, 1, 0.01))
model.add(Sigmoid())

model.fit(x, y, 10000)

print(model.predict(x))

Project details


Release history Release notifications | RSS feed

This version

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

txnet-0.1.tar.gz (1.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

txnet-0.1-py3-none-any.whl (2.5 kB view details)

Uploaded Python 3

File details

Details for the file txnet-0.1.tar.gz.

File metadata

  • Download URL: txnet-0.1.tar.gz
  • Upload date:
  • Size: 1.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

File hashes

Hashes for txnet-0.1.tar.gz
Algorithm Hash digest
SHA256 61018570648214d656bdcff7932aa2dfdf9772b3d1d755d2da0c617082b35efa
MD5 57ea5d7a6b0eca36d9d3be07ae2b1531
BLAKE2b-256 9e0536a0e190d970eee2fed721dd60cb933b382a12a843185428b53a4ae94bba

See more details on using hashes here.

File details

Details for the file txnet-0.1-py3-none-any.whl.

File metadata

  • Download URL: txnet-0.1-py3-none-any.whl
  • Upload date:
  • Size: 2.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7

File hashes

Hashes for txnet-0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 4f50773df28c4c82ac07aec899a8f2dfdbc049a15f5f162168cc81ff070bb3aa
MD5 f6231a84a08b03a56abcd1cc1b22fe6f
BLAKE2b-256 21a2e5cb2cc3185216c12727c8e0b3bf990cde69fdbccf32ab284a521f13393b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page