• Lesson:

Click the square on the bottom right of the video to view full-screen.
square on the bottom right at the lesson wiki.

2—Convolutional neural networks

You will learn more about image classification, covering several core deep learning concepts that are necessary to get good performance: what a learning rate is and how to choose a good one, how to vary your learning rate over time, how to improve your model with data augmentation (including test-time augmentation). We also share practical tips (such as training on smaller images), an 8-step process to train a world-class image classifier, and more information on your hardware setup (including crestle, paperspace, and AWS as options).