Image Classification with Deep Learning: Easy Tutorial for Beginners
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This is a step-by-step guide to Image Classification using Simple Neural Networks and PyTorch. Whether you're a complete beginner or looking to improve your skills, this tutorial will walk you through the process of building an image classifier from scratch, using the popular MNIST dataset.
Chapters:
00:00 – Introduction
01:40 – Preprocessing Images
04:14 – Architecture of Neural Network Model
05:45 – Train Model
10:55 – Use the trained Model on Web Page
16:30 – Test Model on Handwritten number
By the end of this tutorial, you’ll have the foundational knowledge to create your own image classifiers and understand the basic concepts of neural networks and deep learning.
If you're ready to dive into AI and computer vision, this tutorial is the perfect place to start!
Don’t forget to like, subscribe, and hit the notification bell for more tutorials on AI, neural networks, and deep learning!
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