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This PyTorch-based project implements a deep neural network for multi-class classification of fashion items. The dataset consists of images categorized into three classes: glasses vs. sunglasses, shoes, and trousers vs. jeans.

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Name		Name	Last commit message	Last commit date
Latest commit History 21 Commits
data/glasses_shoes_trousers		data/glasses_shoes_trousers
models		models
modular_scripts		modular_scripts
.gitignore		.gitignore
README.md		README.md
requirements.yaml		requirements.yaml

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CNN USING PYTORCH - CUSTOM DATASET

How to Run the project

For ease of running the project, use conda to manage the dependendence.

Run the command:

- conda env create --file requirements.yaml

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This PyTorch-based project implements a deep neural network for multi-class classification of fashion items. The dataset consists of images categorized into three classes: glasses vs. sunglasses, shoes, and trousers vs. jeans.

deep-learning custom fashion cnn pytorch conv2d

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Python 100.0%