Hi everyone,
this Friday we will have Vincent Dumoulin present recent joint work with Francesco Visin:
Have you accepted the transposed convolution as your personal lord and saviour?
When: Friday, 29th April, 2:30pm
Where: AA3195
Who: Vincent Dumoulin
Abstract
Have you ever
struggled reading someone else's CNN code? Do you sometimes have trouble understanding why on Earth some convolutional layers produce the output size they do? Do transposed convolutional layers look like black magic to you? Then the convolution arithmetic guide Francesco Visin and I wrote (http://arxiv.org/abs/1603.07285) is just the thing you need! During this tea talk, I propose to summarize the guide with neat and colourful animations and very little math.
In better terms, from the guide's abstract:
We introduce a guide to help deep learning practitioners understand and manipulate convolutional neural network architectures. The guide clarifies the relationship between various properties (input shape, kernel shape, zero padding, strides and output shape) of convolutional, pooling and transposed convolutional layers, as well as the relationship between convolutional and transposed convolutional layers. Relationships are derived for various cases, and are illustrated in order to make them intuitive.
See you there!
j
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