Mozilla-Campus-Club-Cummins/Documentation_HacktoberFest2025

Custom Models

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#11 opened on Sep 28, 2024

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Description

Explain the process of building a custom neural network from scratch using TensorFlow or PyTorch.

Contributor guide

Research direction
Investigate the typical workflow of building a neural network from scratch, including data preprocessing, model architecture, training loop, and evaluation, using either TensorFlow or PyTorch. Gather code examples and best practices to clearly explain the process in the documentation.
Tech stack
tensorflowpytorch
Domain
machine learningai
Issue type
Documentation
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
GitTensorFlowPyTorch
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75