Handwritten digit recognition using deep learning | CNN | TensorFlow | Tflearn
Handwritten digit recognition is very simply project you should try to understand the concept of how convolutional neural network works. In this tutorial, I have used Tensorflow and Tflearn to build a model.
These are the steps covered in this video:
1. Collection of digits/images
2. Using that images to create data
3. Using that data to create model
4. Using that model to predict new digits
I have already made video on Handwritten digit recognition using SVC (Support Vector Classifier) and also I have converted my project into GUI (Graphical User Interface); You can check that from this link:
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