Part 2 – Fast Gradient Sign Method (FGSM)

Welcome to Part 2 of our blog series on Adversarial Machine Learning! In this installment, we will explore the Fast Gradient Sign Method (FGSM), one of the most widely used and effective adversarial attack techniques. We will understand how the attack works, its significance, and implement the attack through PyTorch code.

June 13, 2023

Fine-Tuning ResNet50 pretrained on ImageNet for CIFAR-10

Thoviti Siddharth Machine Learning/Artificial Intelligence CIFAR-10, Fine-Tuning, PyTorch, ResNet, Transfer Learning 0

Introduction

In this blog post, we will discuss how to fine-tune a pre-trained deep learning model using PyTorch. Fine-tuning is a powerful technique that allows us to leverage the knowledge learned by a pre-trained model on a large dataset and apply it to a new task. This can save a significant amount of time and resources compared to training a model from scratch. The fine-tuned model achieved 92.34% accuracy on the test set.