Deep Learning Lab Experiment 7 | Image Classification using Pre-trained Models | VTU 7th Sem| BAI701
Welcome to Experiment 7 of the Deep Learning and Reinforcement Learning Lab (BAI701) for VTU 7th Semester (22 Scheme) students! 🧠📸
In this video, we explore how to use pre-trained deep learning models such as VGG16, ResNet, or Inception to classify images from a dataset. This experiment demonstrates the concept of Transfer Learning, where we use already-trained models to solve new classification problems efficiently.
📚 What you’ll learn:
Introduction to Transfer Learning
Loading and using pre-trained CNN models (VGG16, ResNet, etc.)
Preprocessing image datasets for classification
Fine-tuning the model and evaluating performance
Comparing accuracy with custom-built CNN models
💻 Experiment Details:
Problem Statement: Write a program to enable pre-trained models to classify a given image dataset.
Subject: Deep Learning and Reinforcement Learning Lab (BAI701)
Scheme: VTU 22 Scheme
Semester: 7th Sem
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