Topic: efficientnetb7 Goto Github
Some thing interesting about efficientnetb7
Some thing interesting about efficientnetb7
efficientnetb7,My Data Science Degree Capstone Project
User: 0092kat
efficientnetb7,A Large-Scale Dataset for Fish Segmentation and Classification Using Deep Learning Algorithms
User: arya-domain
Home Page: https://www.kaggle.com/datasets/crowww/a-large-scale-fish-dataset
efficientnetb7,Landmark Detection using pre-trained models.
User: dasarijayanth
efficientnetb7,Clasificación de imágenes y reconocimiento de objetos mediante la red neuronal convolucional CNN DenseNet y EfficientNet con el modelo frozen model y el framework Coffe. Posteriomente, mediante la red neuronal convolucional CNN MobileNet-SSD y YOLO con el framework TensorFlow
User: ginamartinezl
efficientnetb7,Contains my kaggle kernels
User: kilarinikhil
efficientnetb7,The aim is not only to make a model which can classify the chest x-ray data but also to extract the heat maps of the x-ray for faster diagnosis and making it more reliable to use in real time.
User: mano3-1
efficientnetb7,This project is our submission, for the Google Solution Challenge 2023. With this project, we hope to make an impact and contribute to the field of Good Health and Wellbeing. This project aims to make early stage cancer detection of various types (specifically Brain Tumor, Breast Cancer & Leukemia) sustainable.
User: shshwtsrkr
efficientnetb7,This project utilizes transfer learning with the EfficientNetB7 model for image classification on a challenging food dataset consisting of 101 food categories and 101,000 images
User: spoluan
efficientnetb7,Repo Tim Disability 4. Demo Day Machine Learning with Tensorflow, PROA Digitalent Kemkominfo 2022.
User: syahdannoor
efficientnetb7,Students Engagement Detection Using Hybrid EfficientNetB7 Together With TCN, LSTM, and Bi-LSTM (DAiSEE and VRESEE datasets)
User: tasneemmohammed
Home Page: https://ieeexplore.ieee.org/abstract/document/9893134
efficientnetb7,Multi-label CV classification with 87% accuracy in detecting correct catheter placement in COVID-19 patient chest x-rays under the Royal Australian and New Zealand College of Radiologists Catheter and Line Position Challenge (RANZCR-CLiP) scoring higher than 180 teams on Kaggle.
User: yasphp
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.