suraj-deshmukh/Keras-Multi-Label-Image-Classification
A deep learning project that classifies natural scene images into multiple labels using a Keras convolutional neural network.
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This repository implements a multi-label image classification model using Keras and convolutional neural networks to identify natural scenes. The model uses binary crossentropy loss and sigmoid activation for multi-label output, with a probabilistic threshold method to convert predictions into binary labels. The implementation includes preprocessing pipelines, training scripts in Jupyter notebooks, and provides downloadable dataset and weight files.
Frequently asked
- What is suraj-deshmukh/Keras-Multi-Label-Image-Classification?
- A deep learning project that classifies natural scene images into multiple labels using a Keras convolutional neural network.
- Is Keras-Multi-Label-Image-Classification open source?
- Yes — suraj-deshmukh/Keras-Multi-Label-Image-Classification is an open-source project tracked on heatdrop.
- What language is Keras-Multi-Label-Image-Classification written in?
- suraj-deshmukh/Keras-Multi-Label-Image-Classification is primarily written in Jupyter Notebook.
- How popular is Keras-Multi-Label-Image-Classification?
- suraj-deshmukh/Keras-Multi-Label-Image-Classification has 401 stars on GitHub.
- Where can I find Keras-Multi-Label-Image-Classification?
- suraj-deshmukh/Keras-Multi-Label-Image-Classification is on GitHub at https://github.com/suraj-deshmukh/Keras-Multi-Label-Image-Classification.