Convolutional Neural Networks for Machine Vision with Jon Krohn
Jon Krohn introduces convolutional layers, which are used to build ConvNets in TensorFlow. He then covers the gamut of machine vision applications including residual networks, image segmentation, object detection, transfer learning, and capsule networks.
This lesson is an excerpt from Machine Vision, GANs, and Deep "Reinforcement Learning LiveLessons, 2nd Edition." Purchase entire course at informit.com/youtube and save 50% with discount code YOUTUBE code.
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