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stage3_fashion_cnn_tuned
alfred-ogunbayo/stage3_fashion_cnn_tuned
stage3_fashion_cnn_tuned is a image classification model from alfred-ogunbayo. Use it when you need a label for an image. It is set up for keras. The card lists the license as mit.
This model is part of a structured project focused on building and improving deep convolutional neural networks (CNNs) for clothing item classification using the Fashion MNIST dataset. This is Stage 3, where architect…
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Updated Apr 16, 2025
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At a glance
- Task
- Image Classification
- Library
- keras
- License
- mit
- Access
- Public
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025
- SHA
- 75e6f0f0
Datasets
Model card
From the Hugging Face model README
Deep CNN for Fashion MNIST – Stage 3 Model Tuning
This model is part of a structured project focused on building and improving deep convolutional neural networks (CNNs) for clothing item classification using the Fashion MNIST dataset.
This is Stage 3, where architectural tuning with Batch Normalisation and Dropout was introduced to improve performance and generalisation.
Architecture Summary
- Conv2D layers: 32 → 64 → 128 filters
- Batch Normalisation + ReLU after each
- MaxPooling after each block
- Dropout applied after conv blocks and dense layer
- Dense(128) → Dense(10) with softmax output
Evaluation Metrics (on Test Set)
| Metric | Value |
|---|---|
| Accuracy | 0.9012 |
| Precision | 0.9053 |
| Recall | 0.9012 |
| F1 Score | 0.8992 |
Dataset
- Fashion MNIST (28x28 grayscale images)
- 60,000 training samples
- 10,000 test samples
- 10 clothing classes
Author
Alfred Ogunbayo – MSc AI
GitHub: https://github.com/freddylags
Hugging Face: https://huggingface.co/alfred-ogunbayo
- Task
- Image Classification
- Library
- keras
- License
- mit
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025