Mozilla-Campus-Club-Cummins/Documentation_HacktoberFest2025

Deep Learning

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#2 opened on Sep 28, 2024

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Description

Explain the architecture and training process of a convolutional neural network (CNN).

Contributor guide

Research direction
Start by researching the fundamentals of convolutional neural networks. Look at reputable sources like the CS231n course notes or deep learning textbooks. Identify the core layers (convolution, pooling, fully connected) and explain their purpose. Then describe the training pipeline: data preparation, forward pass, loss calculation, backpropagation, and parameter updates. Use diagrams and simple examples to make it accessible.
Tech stack
None
Domain
documentationmachine learning
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.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Git
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75