Lecture 4 – Loading Trained Models for Inference & Predictions | PyTorch Image Classification
In this lecture, you will learn how to take your trained PyTorch model and use it for inference, predictions, and real-world deployment.
📌 What you will learn:
🔹 How to load a trained PyTorch model
🔹 How to prepare and preprocess new input data for accurate predictions
🔹 How to perform inference with a trained neural network
🔹 Post-processing predictions to convert raw outputs into meaningful results
🔹 Complete workflow for deploying an image classification model
This tutorial is perfect for beginners and also helpful for anyone looking to understand the end-to-end workflow of using trained models in PyTorch.
📂 GitHub Notebook:
🔗 https://github.com/codewithaarohi/pyt...
📩 For Queries:
Comment below or email at [email protected]
#computervision #imageclassification #pytorch #deeplearning #neuralnetworks #python