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04L – ConvNet in practice
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NYU Deep Learning SP21 - 04L – ConvNet in practice

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This course includes

  • 47.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Course website: http://bit.ly/DLSP21-web Playlist: http://bit.ly/DLSP21-YouTube Speaker: Yann LeCun Chapters 00:00:00 – Welcome to class 00:00:09 – ConvNets in practice 00:01:49 – What are convolutions good for? 00:08:39 – Why do we need to stack layers? 00:13:50 – Object detection, multiple object recognition 00:17:25 – Multiple character recognition 00:19:31 – Sliding window ConvNet 00:23:20 – Face detection 00:25:55 – Whiteboard time! 00:31:30 – Q&A 00:33:40 – Semantic segmentation 00:38:54 – Robot navigation using semantic segmentation 00:43:42 – Category-level semantic segmentation 00:46:43 – FPGA ConvNet accelerator 00:47:56 – Error rate on ImageNet 00:49:23 – ResNet 00:50:36 – Networks comparison

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