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– Robot navigation using semantic segmentation
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Classroom Contents
ConvNets in Practice
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- 1 – Welcome to class
- 2 – ConvNets in practice
- 3 – What are convolutions good for?
- 4 – Why do we need to stack layers?
- 5 – Object detection, multiple object recognition
- 6 – Multiple character recognition
- 7 – Sliding window ConvNet
- 8 – Face detection
- 9 – Whiteboard time!
- 10 – Q&A
- 11 – Semantic segmentation
- 12 – Robot navigation using semantic segmentation
- 13 – Category-level semantic segmentation
- 14 – FPGA ConvNet accelerator
- 15 – Error rate on ImageNet
- 16 – ResNet
- 17 – Networks comparison
