Skip to main content

A Neural Network customization tool

Project description

pycustomnets

This is a little project that I've been working on for a while with the primary goal of gaining a more in depth understanding of deep learning and honing various skills

This is meant to be my version of tensorflow and while its definitely not as good as tensorflow for now, It does have same basic functions.

This project is also a package which can be downloaded through pip (functional now)

Activation functions

  • Leaky Relu ("lrelu")
  • Relu ("relu")
  • Sigmoid ("sigmoid")
  • Softmax ("softmax" but this is not yet implemented in the class)

Error Functions

  • Mean Squared Error (cannot be modified for now)

Optimization algorithms

  • Stochastic Gradient Descent ("sgd")
  • ADAM ("adam")

In the future, I hope to implement Softmax properly, add Cross Entropy and Categorical Cross Entropy, add Reinforcement Learning algorithms and other stuff.

Project details


Download files

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

Source Distribution

pycustomnets-0.0.4.tar.gz (7.5 kB view details)

Uploaded Source

Built Distribution

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

pycustomnets-0.0.4-py3-none-any.whl (8.6 kB view details)

Uploaded Python 3

File details

Details for the file pycustomnets-0.0.4.tar.gz.

File metadata

  • Download URL: pycustomnets-0.0.4.tar.gz
  • Upload date:
  • Size: 7.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for pycustomnets-0.0.4.tar.gz
Algorithm Hash digest
SHA256 dfd54687fdca84fff2c2eba8c8ec08d627b6373807aac8163230d450dba1a44c
MD5 16191de6c4396170639056eaf2f910e2
BLAKE2b-256 4f4086fd10b6f95bc0442038d60c09ac79e9b835d7a5ee13a485da111abbdd69

See more details on using hashes here.

File details

Details for the file pycustomnets-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: pycustomnets-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 8.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for pycustomnets-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 072dfaed33a0cf10d624322dfd46d4cd0a7f2d7272903acc1e66c4c1fb2d96a6
MD5 1274da0444c1a655846025890f593666
BLAKE2b-256 40f0ae0e3763bd88ae60ea822bb403949f5b0df4d57d95d4942a99a9b349d767

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