What you would learn in Implement Image Recognition with a Convolutional Neural Network course?
Image recognition has a broad and significant impact on our everyday lives. From unlocking phones with facial recognition to detecting anomalies in chest x-rays, technology is everywhere.
In this class, Implement Image Recognition with a Convolutional Neural Network, you'll learn how to apply the process of image recognition and classifying your data.
The first step is to introduce you to the subject and data. You'll then learn to analyze and prepare the data to move on to the next step. You'll then learn how to create training, test, and build an artificial neural network using the data. In the final part, you'll learn how image augmentation and transfer learning aid boost the performance metrics in the solution you've created.
After completing the course, you'll be equipped with the skills required to apply image recognition to any data set you want to use.
Course Content:
Course Overview
Exploring and Preparing a Dataset for Image Recognition
Training a Convolutional Neural Network to Classify Images
Improving Performance of the Convolutional Neural Network
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