dnn-models

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IsraelAbebe / plant_disease_experiments

A project to train and evaluate different dnn models for plant disease detection problem, tackle the problem of scarce real-life representative data, experiment with different generative networks and generate more plant leaf image data and implement segmentation pipeline to avoid miss-classification due to unwanted input

generative-adversarial-network resnet transfer-learning vgg16 inceptionv3 plant-disease plant-disease-detection leaf-image-segmentation dnn-models

Updated Dec 28, 2019
Python

DebeshJha / LightLayers

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LightLayers: Parameter Efficient Dense and convolutional Layers for Image Classification (PDCAT-PAAP)

lightweight tensorflow mnist mnist-classification image-classification cnn-classification fashion-mnist dnn-models

Updated Oct 18, 2023
Python

ankitsinghh12 / plant-disease-detection-final

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Plant disease detection using VGG16 model, which is a pre-trained model that has been trained on a large dataset of images.

generative-adversarial-network resnet transfer-learning vgg16 inceptionv3 plant-disease plant-disease-detection leaf-image-segmentation dnn-models

Updated Sep 17, 2023
Python

tusharr-mishra / flight-delay-prediction-dnn

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Attention-based deep neural network for predicting flight delays using aviation data, focusing on feature importance and model accuracy.

ai deep-learning neural-network tensorflow machine-learning-algorithms attention-mechanism flight-delay-prediction dnn-models

Updated Apr 29, 2026
Jupyter Notebook

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