Basic Aspects of Convolutional Neural Networks - Tutorial
Offered By: International Centre for Theoretical Sciences via YouTube
Course Description
Overview
Explore the fundamental concepts of convolutional neural networks in this 34-minute tutorial presented by Han Wang from the University of Edinburgh. Gain insights into the basic aspects of CNNs, a crucial component in modern machine learning and computer vision applications. Learn about the architecture, operations, and principles that make CNNs effective for tasks such as image recognition and processing. This tutorial is part of the "Theoretical and Practical Perspectives in Geophysical Fluid Dynamics" program organized by the International Centre for Theoretical Sciences, offering valuable knowledge for researchers and students in geophysical fluid dynamics, climate science, and related fields interested in applying machine learning techniques to their work.
Syllabus
Tutorial on ‘Basic aspects of convolutional neural networks’ by Han Wang
Taught by
International Centre for Theoretical Sciences
Related Courses
Advanced Concepts in Fluid MechanicsIndian Institute of Technology, Kharagpur via Swayam Geophysical Fluid Dynamics - Geometry and Ecology
Ross Dynamics Lab via YouTube Factors Controlling the Runout Distance of Pyroclastic Density Currents - Olivier Roche
Kavli Institute for Theoretical Physics via YouTube From Creepy to Catastrophic - Some Puzzling Behaviors of Natural
Kavli Institute for Theoretical Physics via YouTube Field & Laboratory Observations of Floc Aggregates in Muddy Suspensions - Kyle Strom
Kavli Institute for Theoretical Physics via YouTube