It is a list of functions that can take different types of linear final decision features and collapses them down so which they only compute only one dot product or service when invoked.
In dlib, a deep neural community is made up of three key elements. An enter layer, a bunch of computational layers, and optionally a reduction layer. The add_layer course could be the central item which adds a computational layer on to an enter layer or an entire community.
The metric is solely the squared distance among a check position and the subspace spanned from the list of dictionary vectors.
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This object is often a Software for Studying to try and do sequence labeling depending on a set of training info. The teaching procedure produces a sequence_labeler object which may be use to predict the labels of new info sequences.
This object represents a histogram intersection kernel kernel for use with kernel Discovering machines that function on sparse vectors.
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This layer has an interface and behavior just like input_rgb_image apart from that it involves input photographs to own a specific measurement.