How Can Neural Networks Identify Fake Face Images?
Offered By: Machine Learning With Hamza via YouTube
Course Description
Overview
Explore the fascinating world of neural networks and their ability to identify fake face images in this 29-minute video tutorial. Dive into the Grad-CAM algorithm and learn how it can be applied to detect artificially generated faces. Follow along as the instructor guides you through dataset preprocessing, model training, and result analysis. Discover the power of Grad-CAM and Guided Grad-CAM techniques for visualizing and interpreting neural network decisions. Gain practical insights into machine learning explainability and access valuable resources for further study. Perfect for those interested in computer vision, deep learning, and AI ethics.
Syllabus
Introduction
Datasets & Preprocess
Model Training & Results
Grad-CAM
Guided Grad-CAM
Grad-CAM Results
outro
Taught by
Machine Learning With Hamza
Related Courses
Neural Networks for Machine LearningUniversity of Toronto via Coursera Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn Statistical Learning with R
Stanford University via edX Machine Learning 1—Supervised Learning
Brown University via Udacity Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX