Helping detect the type of brain tumor (if any) using EfficientNetB1.
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Aug 8, 2021 - Jupyter Notebook
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efficientnetb1
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Explore deep learning-powered image classification with PyTorch. Achieved 98% accuracy on Natural Images and 95% on Birds Species using AlexNet and EfficientNet-B1. Dive into the code and results!
deep-learning pytorch image-classification alexnet vgg16 natural-images bird-species-classification efficientnetb1
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Aug 19, 2023 - Jupyter Notebook
In this project, we created a convolutional neural network using the EfficientNetB1 model in Keras to perform Image Classification of MRI brain scans with reasonably high (97.4%) accuracy.
tumor mri brain convolutional-neural-network classification-model glioma efficientnetb1 pituitary meningioma
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Mar 15, 2022 - Jupyter Notebook
Finetuned pretrained-CNN architectures on Kaggle's FGVC21 plant pathology dataset (Implemented in Keras)
kaggle-competition cnn-keras kaggle-dataset multi-class-classification cnn-classification inception-resnet-v2 cnn-image-classification efficientnetb1
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Dec 13, 2021 - Jupyter Notebook
Projet de détection de la COVID-19 grâce aux réseaux de neurones convolutifs.
deep-learning tensorflow keras cnn convolutional-neural-networks vgg16 cnn-classification streamlit covid-19 efficientnetb1
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Oct 26, 2023 - Jupyter Notebook
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