Transcription of Lecture 7: Convolutional Neural Networks
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Lecture 7: Convolutional Neural Networks Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 7 - 1 27 Jan 2016. Administrative A2 is due Feb 5 (next Friday). Project proposal due Jan 30 (Saturday). - ungraded, one paragraph - feel free to give 2 options, we can try help you narrow it - What is the problem that you will be investigating? Why is it interesting? - What data will you use? If you are collecting new datasets, how do you plan to collect them? - What method or algorithm are you proposing? If there are existing implementations, will you use them and how? How do you plan to improve or modify such implementations? - What reading will you examine to provide context and background? - How will you evaluate your results? Qualitatively, what kind of results do you expect ( plots or figures)?
applied with stride 2 7 7 A closer look at spatial dimensions: Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 7 - 31 27 Jan 2016 7x7 input (spatially) assume 3x3 filter applied with stride 2 => 3x3 output! 7 7 A closer look at spatial dimensions:
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