From the course: Deep Learning: Image Recognition

Build cutting-edge image recognition systems - Python Tutorial

From the course: Deep Learning: Image Recognition

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Build cutting-edge image recognition systems

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- [Adam] Are you interested in learning how computers can look at a photograph and tell you what's in it? Only a few years ago, this technology was science fiction, but now it's showing up in all kinds of software applications. Hi, I'm Adam Geitgey, and I'm a machine learning consultant. In this course, we'll learn about using neural networks to build custom image recognition systems. First we'll cover how to design a neural network architecture that's capable of recognizing which object appears in the photograph, then we'll train our neural network with thousands of images so it can tell the difference between different kinds of objects, like dogs and airplanes. Next, we'll explore how to use transfer learning to leverage pre-trained neural networks to build object recognition systems more quickly and with less training data. Finally we'll see how to use cloud-based object recognition APIs as an alternative to building our own neural networks. If you wanna learn how to incorporate object recognition technology in your own applications, or you're just curious how it works, this is the right place to start. Let's dive in.

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