August 2019
Intermediate to advanced
242 pages
5h 45m
English
Content preview from Hands-On Deep Learning with Go
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Changing the latent dimensions
VAEs on MNIST typically perform reasonably well with two dimensions after enough epochs, but the best way to know this for certain is to test that assumption and try a few other sizes.
For the implementation described in this book, this is a fairly quick change:
w0 := gorgonia.NewMatrix(g, dt, gorgonia.WithShape(784, 256), gorgonia.WithName("w0"), gorgonia.WithInit(gorgonia.GlorotU(1.0)))w1 := gorgonia.NewMatrix(g, dt, gorgonia.WithShape(256, 128), gorgonia.WithName("w1"), gorgonia.WithInit(gorgonia.GlorotU(1.0)))w5 := gorgonia.NewMatrix(g, dt, gorgonia.WithShape(8, 128), gorgonia.WithName("w5"), gorgonia.WithInit(gorgonia.GlorotU(1.0)))w6 := gorgonia.NewMatrix(g, dt, gorgonia.WithShape(128, 256), gorgonia.WithName("w6"), ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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