Building Image Classification Solutions Using Keras and Transfer Learning
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.
What you'll learn
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.
Table of contents
About the author
Pratheerth is a Data Scientist who has entered the field after an eclectic mix of educational and work experiences. He has a Bachelor's in Engineering in Mechatronics from India, Masters in Engineering Management from Australia and then a couple of years of work experience as a Production Engineer in the Middle East. Then when the A.I bug bit him, he dropped everything to dedicate his life to the field. He is currently working on mentoring, course creation and freelancing as a Data Scientist.