Handwritten Digit Classification using ANN | MNIST Dataset
Channel: CampusX
Date: 2022-03-09

Handwritten Digit Classification using Artificial Neural Networks (ANN) involves training a model to recognize and classify handwritten digits, typically from 0 to 9. The ANN learns patterns from labeled datasets, allowing it to generalize and accurately identify handwritten digits in unseen data.

Digital Notes for Deep Learning: https://shorturl.at/NGtXg

Link - https://colab.research.google.com/drive/1SqETl3Zi1EEesdJfEv6_QimB-M-YjKGx?usp=sharing

============================
Do you want to learn from me?
Check my affordable mentorship program at : https://learnwith.campusx.in
============================

📱 Grow with us:
CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official
CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official
My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789
Discord: https://discord.gg/PsWu8R87Z8
E-mail us at support@campusx.in

👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science!

💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you!

✨ Hashtags✨
#MachineLearning #ImageRecognition #HandwrittenDigits #NeuralNetworks #DataScience #classificationmodel 

⌚Time Stamps⌚

00:00 - Intro
01:40 - MNIST Dataset
05:20 - Code Demo
25:28 - Accuracy Plot
28:06 - Outro