Computer Vision with GluonCV


In this course, we will discuss the benefits of using the GluonCV toolkit.


Welcome to this course on computer vision, where we’ll join Alex Smola, VP and Distinguished Scientist at Amazon Web Services (AWS), and Tong He, Applied Scientist at AWS, as they discuss the benefits of using the GluonCV toolkit. This course builds a useful understanding of the components of a convolutional neural network (CNN) and shows how to implement some of the techniques highlighted throughout the material.

In this course, you will learn about:

  • Convolutions

  • Padding and stride

  • Channels

  • Pooling

  • LeNet

  • Activation functions

  • DropOut

  • Batch normalization

  • Blocks

  • The curse of the last layer

  • Residual networks

  • Data processing


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