#计算机科学#Implementation of EfficientNet model. Keras and TensorFlow Keras.
#计算机科学#Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels
#安卓#This app contains and skin cancer android app whose model is created using transfer learning with inception_v3
#计算机科学#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 s...
#计算机科学#MATLAB Fashion Classification with Deep Learning.
Brain tumor detection and classification based on MRI images using Convolutional neural networks.
#计算机科学#Malaria Detection from Cell Images using Deep Learning - NasNetMobile Model
#计算机科学#A Deep Learning solution that aims to help doctors in their decision making when it comes to diagnosing cancer patients.
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 architec...
#计算机科学#Fine tuned NasNetmobile model for tea leaf disease detection
Real-time trash classification using CNN and transfer learning (MobileNetV2 and NASNetMobile) to identify waste materials
#计算机科学#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 differ...
#计算机科学#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 back...
A deep-neural-network model for estimating the aesthetic quality of images
Garbage Classifier using Transfer Learning: ML-powered REST API for classifying waste. Built with FastAPI, TensorFlow, and Transfer Learning on NASNet.
