Deep Learning with R, Second Edition

9 Advanced deep learning for computer vision

This chapter covers

• The different branches of computer vision: image classification, image segmentation, and object detection
• Modern convnet architecture patterns: residual connections, batch normalization, and 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 layer_conv_2d() and layer_max_pooling_2d() 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 ...