bhaskar9221/DeepLearning-Projects

This is my Repository for Deep Learning Project and Works

What's novel

This is my Repository for Deep Learning Project and Works

Code Analysis

2 files read · 2 rounds

Implements the classic LeNet-5 CNN architecture and trains it on the MNIST handwritten digit dataset using PyTorch with SGD optimization.

Strengths

The model architecture is a faithful, readable implementation of the original LeNet-5 paper, and the training loop is straightforward and functional for a learning exercise.

Weaknesses

A critical bug applies ReLU to the final output layer (distorting logits for CrossEntropyLoss), there are no tests, no reproducibility (no seed), the model is saved every epoch unconditionally, and the README describes a broad portfolio repo rather than this specific project.

Score Breakdown

Innovation

2 (25%)

Craft

18 (35%)

Traction

9 (15%)

Scope

30 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+0

Concept Novelty+0

Craft

Ci-3

Tests-5

Polish+0

Releases-2

Has License+0

Code Quality+9

Readme Quality+8

Recent Activity+7

Structure Quality+4

Commit Consistency+0

Has Dependency Mgmt+0

Traction

Forks+0

Stars+6

Hn Points+0

Watchers+3

Early Traction+0

Devto Reactions+0

Community Contribs+0

Scope

Commits+5

Languages+5

Subsystems+0

Bloat Penalty+0

Completeness+5

Contributors+5

Authored Files+4

Readme Code Match+3

Architecture Depth+5

Implementation Depth+8

Evidence

Commits

Contributors

Files

Active weeks

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

Forks

License

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