It solves the Kaggle problem hosted by Planet of Multilabel classification of amazon rainforest satellite images in accordance to 17 classes. It is based on the method of thresholding and CNN. It is developed in TensorFlow and python. It was developed on a 4-GB RAM device with no GPU and an i-5 CPU, hence is a shallow network.
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It solves the Kaggle problem hosted by Planet of Multilabel classification of amazon rainforest satellite images in accordance to 17 classes. It is based on the method of thresholding and CNN. It is developed in TensorFlow and python. It was developed on a 4-GB RAM device with no GPU and an i-5 CPU, hence is a shallow network.
DivyanshMalhotra/Amazon-Rainforest-Multilabel-Classification
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It solves the Kaggle problem hosted by Planet of Multilabel classification of amazon rainforest satellite images in accordance to 17 classes. It is based on the method of thresholding and CNN. It is developed in TensorFlow and python. It was developed on a 4-GB RAM device with no GPU and an i-5 CPU, hence is a shallow network.
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