Building Image Classification Solutions Using Keras and Transfer Learning
This course provides an introduction to image classification and an in-depth exploration of building image classification solutions using Keras and transfer learning. Participants will learn how to implement and tune convolutional neural networks. ▼
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Course Feature
Cost:
Free Trial
Provider:
Pluralsight
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Pluralsight platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
(Please note the following content is from the official provider.)
This is a course in which you'll go all the way from being introduced to image classification to eventually learning how to implement and tune convolutional neural networks.
In a world with ever-expanding, abundant image data, image classification is a low hanging fruit that has found its way to a multitude of applications ranging from manufacturing to healthcare and even security. In this course, Building Image Classification Solutions Using Keras and Transfer Learning, you will learn both about image classification, and how to eventually implement and tune neural networks. First, you will be introduced to the fundamentals of how a neural network works. Next, you will discover the basics of how to build an image classifier – from scratch! Then, you will explore how the researchers from top universities and corporate giants have approached this problem. Next, you will delve into the problem you've encountered to their "pre-build" models. Finally, you will be briefed on how to improve the performance of your classifier and the pitfalls you're likely to encounter while going about building one. When you are finished with this course, you will have a foundational knowledge of image classification that will help you solve your own problems in computer vision.
(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)
What skills and knowledge will you acquire during this course?
This course will provide learners with the skills and knowledge necessary to build image classification solutions using Keras and transfer learning. Learners will gain an understanding of the fundamentals of neural networks, how to build an image classifier from scratch, and how to use pre-built models to improve the performance of the classifier. Additionally, learners will gain experience in machine learning, deep learning, and computer vision, as well as practice building their own image classifiers and experimenting with different techniques to improve their performance.
How does this course contribute to professional growth?
This course provides a comprehensive introduction to image classification and how to implement and tune convolutional neural networks. It covers the fundamentals of neural networks, how to build an image classifier from scratch, and how to use pre-built models to improve the performance of the classifier. By taking this course, learners can gain the knowledge and skills necessary to pursue a career in computer vision, such as developing applications for autonomous vehicles, medical imaging, or security. They can also use their skills to develop their own image classification solutions for their own projects. This course can contribute to professional growth by providing learners with the necessary skills to pursue a career in computer vision and to develop their own image classification solutions.
Is this course suitable for preparing further education?
This course provides a comprehensive introduction to image classification and how to implement and tune convolutional neural networks. It covers the fundamentals of neural networks, how to build an image classifier from scratch, and how to use pre-built models to improve the performance of the classifier. This course is suitable for preparing further education, as it provides learners with the necessary knowledge and skills to pursue a career in computer vision, such as developing applications for autonomous vehicles, medical imaging, or security. Learners should supplement their knowledge of image classification with other related topics, such as machine learning, deep learning, and computer vision, and practice building their own image classifiers and experiment with different techniques to improve their performance.
Course Provider
Provider Pluralsight's Stats at AZClass
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Pluralsight ranked 20th on the Forbes Cloud 100 list of the top 100 private cloud companies in the world.
Pluralsight Ranked on the Best Workplaces for Women List for the second consecutive year.
AZ Class hope that this free trial Pluralsight course can help your Computer Vision skills no matter in career or in further education. Even if you are only slightly interested, you can take Building Image Classification Solutions Using Keras and Transfer Learning course with confidence!
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