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:
https://www.youtube.com/playlist?list=PLiWNvnK7PSPHTHFLQHhGzEhVICXGBFpzm

You can watch how Convolutional Neural network works from this link:
https://www.youtube.com/playlist?list=PLiWNvnK7PSPHnh0GGag6_gxBZUmSgImtO

Get source code with only two steps:
Step 1: Subscribe to my channel directly using this link:
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Step 2: Then click on this link to get the code:
https://igtechteam.com/2023/06/25/handwritten-digit-recognition-using-cnn-deep-learning-project/

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#Neural_Network
#Digit_Recognizer
#Tensorflow
#Tflearn .

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