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.
Course Overview Hi everyone. My name is Pratheerth Padman, and welcome to my course, Building Image Classification Solutions Using Keras and Transfer Learning. Currently, I'm a freelance data scientist. I used to work in manufacturing, but because of my love for all things data, I completely pivoted to data science. Not only is image classification an exciting subfield, but it's also one of the first applications you can think of in artificial intelligence. This is an intermediate-level 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. Some of the major topics that we'll cover include an overview of image classification, building a convolutional neural network, and transfer learning. By the end of this course, you will know the basics of Keras and transfer learning in order to help you build your own image classification systems. Before beginning the course, you should be familiar with a basic to intermediate level of Python programming and a fundamental knowledge of the terminology and use cases of machine learning. I hope you'll join me on this journey to learn image classification and Keras with the Building Image Classification Solutions Using Keras and Transfer Learning course at Pluralsight.