Image recognition using Deep learning with Intel
- 0 Collaborators
We know that an effective accurate Deep Learning framework can be only done with advanced processors. When a deep learning framework is done with a very high-level programming language like MATLAB it becomes more complicated, still it can be done efficiently by any type of processors. ...learn more
Project status: Published/In Market
RealSense™, Artificial Intelligence, PC Skills
Groups
Student Developers for AI
Intel Technologies
Intel Integrated Graphics,
Other,
Intel Opt ML/DL Framework
Overview / Usage
This project is mainly used for image classification using a pre-trained network called AlexNet. This can be used for any of the image classifications. The accuracy is above 90%. This can be used for classification of images in a system within low time, and with high accuracy. The execution speed of the this is very faster without any delays. The main software used for this project is MATLAB.
Methodology / Approach
In this image classifier using Deep Learning with MATLAB Software, we are using the pre-trained called AlexNet. The Operating System(OS) used is Windows 7 and the processor used is intel CORE i3.
Technologies Used
Hardware used is Intel Core i3 with Windows 7 as Operating System(OS) and the software used is MATLAB.
Repository
https://github.com/akhilaku/Image-recognition-by-Deep-Learning-using-MATLAB-softwares