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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: • (Project) Machine learning and Data science You can watch how Convolutional Neural network works from this link: • Deep Learning Get source code with only two steps: Step 1: Subscribe to my channel directly using this link: / @igtechteam Step 2: Then click on this link to get the code: https://ishwargautam1.com.np/handwrit... ➥Blog: https://ishwargautam1.com.np/ ➥Facebook page: / ishwargautam239 ➥Instagram page: / ishwar_gautam1 ➥LinkedIn: / ishwargautam1 Searching for more videos? Then here is the link: 🢡Complete Natural Language Processing Playlist: • Natural Language Processing 🢡To learn about deep learning: • Deep Learning 🢡To learn about Machine learning and data science tutorial: • (Tutorial) Machine learning and Data science 🢡To learn about project of Machine learning and data science: • (Project) Machine learning and Data science 🢡To learn about python full course: • Python tutorial with framework and projects 🢡To learn about java full course: • Java tutorial 🢡Project discussion: What project can we make from python, PHP, java, C/C++: • Плейлист 🢡Learn in just one video (coding like C,C++,Java, PHP, python and many more) • Learn in one video ➤visit my channel to find more videos: / igtechteam #Neural_Network #Digit_Recognizer #Tensorflow #Tflearn . यस च्यानलमा अप्लोड भएका video हरु र अन्य code वा file हरु download गरी अन्य च्यानलमा अप्लोड भएको पाइएमा कडा भन्दा कडा कारबाही गरिनेछ। To upload my videos to another channel or misuse my files or codes is strictly prohibited . We have no concern regarding embedding videos on many other sites. Keep loving, Keep supporting!