nue 0.0.1

A Deep Learning Package for Entry Level Tinkerers

A Deep Learning Framework for Entry Level Tinkerers

A Python Package for Seamless Usage and Implementation of Deep Learning Models

Currently in Development, I'll be adding as I learn how to build

Phase 1

MAIN

• Linear Regression Model
  • Implement
  • Write DocStrings
• Logistic Regression Model
  • Implement
  • Write DocStrings
• Vanilla Neural Networks
  • Implement
  • Write DocStrings

Organize

• Optimize performance of each model
  • Tune the operations and architecture (code)
• Implement scaling / standardization functions
• Ship ‘pip install neo_dl’ functionality once a stable version is released.
• Implement a utility function that allows for easy split of test/train of csv data.
• Functionality for loading params from a pkl file.
• Functionality for saving params from a pkl file
• Functionality for securely storing params other than a pkl file
• Functionality for saving params securely other than a pkl file
• Implement Loading Bar whilst the model is training
• Implement init.py functionality under /neo_dl for ease of import for users.