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Welcome to Lecture 3 of the PyTorch Series! In this tutorial, you will learn how to create, train, test, and evaluate a simple neural network using PyTorch — step by step and beginner friendly. 📌 What you will learn in this lecture: 1️⃣ How to prepare and preprocess data for deep learning 2️⃣ How to build a simple neural network using PyTorch 3️⃣ How to train the model on image data 4️⃣ How to test and evaluate the model’s performance 5️⃣ Understanding accuracy, loss curves, predictions, and improvements 6️⃣ Complete coding walkthrough for beginners By the end of this lecture, you’ll be able to create your own PyTorch-based image classification pipeline from scratch. 📂 GitHub Repository: 🔗 https://github.com/codewithaarohi/Image-Classification-Using-Pytorch 📩 For Queries: Comment below or email at [email protected] #computervision #imageclassification #pytorch #deeplearning #neuralnetworks #python

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