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Literacy Essentials : Core Concepts Convolutional Neural Network

Offered By: Pluralsight

Tags

Convolutional Neural Networks (CNN) Courses Deep Learning Courses

Course Description

Overview

This course will teach you the fundamental concepts required to understand how convolutional neural networks work.

Convolutional Neural Networks have given computers a near human-level ability to make sense of image data. In this course, Literacy Essentials: Core Concepts Convolutional Neural Network, you’ll develop a fundamental understanding of how convolutional neural networks operate. First, you’ll explore the layers that make up convolutional neural networks. Next, you’ll discover how those layers, when trained on a dataset, work together to identify classes in an image. Finally, you’ll learn how to use existing convolutional neural networks with minimal effort. When you’re finished with this course, you’ll have the skills and knowledge required to understand how CNNs (Convolutional Neural Network) work so you can start exploring more advanced Convolutional Neural Networks needed to add understanding of images to your applications.

Syllabus

  • Course Overview 1min
  • Introduction 16mins
  • Exploring Convolutional Neural Network Architecture 37mins
  • Next Steps 11mins

Taught by

Alex Schultz

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