nasnetmobile 开源项目推荐（18 个）

qubvel /efficientnet

EfficientNet模型的实现。Keras和TensorFlow Keras。

anjanatiha /Cancer-Detection-from-Microscopic-Tissue-Images-with-Deep-Learning

通过微调预训练模型（“Inception”）以适配新类别标签，从显微图像中检测癌症

jenishborah /Tea-Leaf-Disease-Detection

This repo contains my final year project on tea leaf diseases using deep learning as a partial fulfillment of my degree of master in science in information technology from the department of computer science, Gauhati university

syed-hamza /Skin-Cancer-Android-App

This app contains and skin cancer android app whose model is created using transfer learning with inception_v3

taliegemen /Fashion-Classification

MATLAB Fashion Classification with Deep Learning.

AzzikraPraqastaKusuma123 /NASNetMobile-Project

Proyek ini adalah sebuah implementasi deep learning untuk mengklasifikasikan berbagai jenis penyakit pada daun padi secara otomatis.

karunagujar13 /MRI-based-brain-tumor-classification

Brain tumor detection and classification based on MRI images using Convolutional neural networks.

grknc /Satellite-Image-Classification-CNN-Fine-Tuning-NasNet-Mobile

Satellite Image Classification is a deep learning project that classifies satellite images into categories like "Cloudy", "Desert", "Green_Area", and "Water". By fine-tuning the NasNet Mobile architecture using Convolutional Neural Networks (CNNs) and transfer learning, the model achieves an accuracy of 95%.

anjanatiha /Malaria-Parasite-Detection-in-Thin-Blood-Smear-Images-with-Convolutional-Neural-Networks

使用深度学习从细胞图像检测疟疾——NasNetMobile模型

taherromdhane /histopathologic-cancer-detection

A Deep Learning solution that aims to help doctors in their decision making when it comes to diagnosing cancer patients.

jenishborah /TLP_leafDiseaseDetection

Fine tuned NasNetmobile model for tea leaf disease detection

fatemehsabourinia /Dog-Breed-Recognition

Dog breed recognition across 120 classes with comparative modelling and TensorFlow Lite deployment

g-wtham /trash-classification-cnn-transferlearning

Real-time trash classification using CNN and transfer learning (MobileNetV2 and NASNetMobile) to identify waste materials

anisha-01-phoenix /Brain-Tumor-MRI-Detection

该项目在 GitHub 上没有填写描述

omega-rg /Qpixl-Image-Quality-Inspector

A deep-neural-network model for estimating the aesthetic quality of images

Busrapehlivan /nas_net_plant

This application allows users to identify plants by taking or uploading photos. It uses a deep learning model based on the NASNetMobile architecture, providing accurate plant recognition across different platforms (iOS, Android, and Web)

AnshKGoyal /Plant-Disease-Classification

The Plant Disease Classification project uses the NasNetMobile deep learning model to classify plant conditions into five categories: fungus, healthy, virus, pests , and bacteria . With a FastAPI backend, SQL Server database, and Streamlit frontend, it enables users to upload images and get quick, accurate disease predictions.

g-wtham /garbage-classifier-fastapi

Garbage Classifier using Transfer Learning: ML-powered REST API for classifying waste. Built with FastAPI, TensorFlow, and Transfer Learning on NASNet.