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Basic Aspects of Convolutional Neural Networks - Tutorial

Offered By: International Centre for Theoretical Sciences via YouTube

Tags

Machine Learning Courses Deep Learning Courses Computer Vision Courses Image Recognition Courses Climate Science Courses Neural Network Architecture Courses Geophysical Fluid Dynamics Courses

Course Description

Overview

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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

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