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Implement Image Recognition with a Convolutional Neural Network

Image recognition is used in a wide variety of ways in our daily lives. This course will teach you how to tune and implement convolutional neural networks in order to implement image recognition and classification on a business case.

Pratheerth Padman - Pluralsight course - Implement Image Recognition with a Convolutional Neural Network
by Pratheerth Padman

What you'll learn

Image recognition has an extensive and important impact on our daily lives. From unlocking phones using facial recognition to detecting anomalies in chest-x rays, it is everywhere.

In this course, Implement Image Recognition with a Convolutional Neural Network, you’ll understand how to implement image recognition and classification on your very own dataset.

First, you’ll be introduced to the problem and dataset. Then, you’ll learn how to explore and prepare the dataset for the next step. Next, you’ll see how to build, train, and test a neural network on the dataset. Finally, you’ll explore how image augmentation and transfer learning help to lift the performance metrics involved in your solution.

When you’re finished with this course, you’ll have the knowledge required to implement image recognition on any dataset of your choice.

Table of contents

About the author

Pratheerth Padman - Pluralsight course - Implement Image Recognition with a Convolutional Neural Network
Pratheerth Padman

Pratheerth is a freelance Data Scientist who has entered the field after an eclectic mix of educational and work experiences.

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