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This is a new project I have started. It will include many topics and tools inside such as deep learning, multilayer perceptrons, c++, qt, qml, opencv. I am plannig to have a gui at the end, I will be able to draw any digit inside a paint area in the gui. I will click to the analyze button and it will tell me the digit. Backend will have a model and it will analyze the image. Also we will train this model by using mnist dataset which includes 60.000 handwritten digit images. We are gonna use Multilayer perceptrons for training. All details will be inside the videos. This project is included from 4 video series. This is the first video and it contains how to get mnist dataset images and prepare them for training. 🌠 Github repository which includes the related code: https://github.com/yunus-temurlenk/Re... 🌠 You may want to watch also: • QR code Detection with OpenCV Class Q... 🌠 Stackoverflow: https://stackoverflow.com/users/11048... 🌠 Github: https://github.com/yunus-temurlenk?ta... 🌠 Twitter: / code_enjoy 🌠Hashnode: https://yunustemurlenk.hashnode.dev/ ▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬ 0:00 - Introduction 1:28 - Mnist dataset webpage explanation 4:52 - Coding part for getting images If you see any mistake and any advice please comment. Thanks for watching... #mlp, #opencv, #mnist