9 Advanced deep learning for computer vision

This chapter covers

  • The different branches of computer vision: image classification, image segmentation, object detection
  • Modern convnet architecture patterns: residual connections, batch normalization, depthwise separable convolutions
  • Techniques for visualizing and interpreting what convnets learn

The previous chapter gave you a first introduction to deep learning for computer vision via simple models (stacks of Conv2D and MaxPooling2D layers) and a simple use case (binary image classification). But there’s more to computer vision than image classification! This chapter dives deeper into more diverse applications and advanced best practices.

9.1 Three essential computer vision tasks

So far, we’ve ...

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