efficientnetb1

There are 0 repository under efficientnetb1 topic.

Brain-Tumor-Classification
nazianafis / Brain-Tumor-Classification
Helping detect the type of brain tumor (if any) using EfficientNetB1.
brain-tumor-classification image-classifcation efficientnetb1
Language:Jupyter Notebook 6
Image_Classification_Kaggle_FGVC21
AshishBodhankar / Image_Classification_Kaggle_FGVC21
Finetuned pretrained-CNN architectures on Kaggle's FGVC21 plant pathology dataset (Implemented in Keras)
efficientnetb1 inception-resnet-v2 cnn-keras cnn-classification cnn-image-classification multi-class-classification kaggle-competition kaggle-dataset
Language:Jupyter Notebook 1
leilibrk / Image-Classification-Deep-Learning
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!
bird-species-classification deep-learning image-classification natural-images pytorch alexnet efficientnetb1 vgg16
Language:Jupyter Notebook 1
madison-freeman / brain-tumor-classification-model
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.
efficientnetb1 convolutional-neural-network classification-model mri brain tumor pituitary meningioma glioma
Language:Jupyter Notebook 1
nathan528491 / cnn_covid19_prediction
Projet de détection de la COVID-19 grâce aux réseaux de neurones convolutifs.
cnn cnn-classification convolutional-neural-networks covid-19 deep-learning efficientnetb1 keras streamlit tensorflow vgg16
Language:Jupyter Notebook 0

efficientnetb1

nazianafis / Brain-Tumor-Classification

AshishBodhankar / Image_Classification_Kaggle_FGVC21

leilibrk / Image-Classification-Deep-Learning

madison-freeman / brain-tumor-classification-model

nathan528491 / cnn_covid19_prediction