The Data Delusion NEIL LAWRENCE UNIVERSITY OF SHEFFIELD
GLOBAL INFORMATION STORAGE CAPACITY IN OPTIMALLY COMPRESSED BYTES SVMs ConvNets dominate NIPS Developed
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Outline of the DeepFace architecture. A front-end of a single convolution-pooling-convolution filtering on the rectified input, followed by three locally-connected layers and two fully- connected layers. Color illustrates feature maps produced at each layer. The net includes more than 120 million parameters, where more than 95% come from the local and fully connected layers. Source: DeepFace
g đĻ f 3 (â) f 4 (â) f 5 (â) f 6 (â)f 7 (â)f 8 (â)f 9 (â) f 2 (â) f 1 (đĻ) g đĻ = f 9 (f 8 (f 7 (f 6 (⯠))))
đ Ī đ đĨ 1đ â đ đ Ī đ đĨ 2đ â đ đ 9 h = ⎠đ Ī đ đĨ đđ â đ
đ 9 h = Ī Wh W â â đ 8 Ãđ 9
đ˛ Ī W 1 đ˛ 1 Ī W 2 đĸ 1 Ī W 3 đĸ 2 đŗ Yes No
đ˛ Ī W 1 đ˛ 1 Ī W 2 đĸ 1 Ī W 3 đĸ 2 đŗ Yes No
B A
đ(đĻ) dđ(đĻ) āļą đ đĻ đ đĻ dđĻ dđĻ
Gaussian Processes
Health âĸ Complex genotype epigenotype environmen t system âĸ Scarce data State of health âĸ Different modalities clinical tests Organ states gene âĸ Poor expression understanding treatment clinical Cell states of mechanism notes âĸ Large scale survival analysis X-ray biopsy PLoS Comp Bio, Nature Methods X-ray biopsy
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User Data User Data User Data ML data User Data Data trust ML User Data User Data User Data
Thank you Neil Lawrence http://inverseprobability.com @lawrennd
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