Examples of using Each input in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
Instead of having a node for each input, we have a big“box” of nodes that we apply to the input again and again.
Compute the element type R of the result matrix as promote_op(op, argument_types…), where argument_types is computed from eltype applied to each input array.
Each input can be cropped, scaled and positioned according to stored defaults(e.g. quad, window-in-window, 3+1, etc.) or in any custom configuration.
Each input can be cropped, scaled, and positioned according to stored presets(such as quad, window-in-window, 3+1, etc) or in any user-defined configuration.
Looking at a neuron inside the DNN(bolded in red, right pane), this neuron produces a scalar output zi corresponding to each input xi.
We do this because most of the comments are about this length, and each input of our neural network needs to be the same size.
Each input card exposes an Update property.
In_features- size of each input sample.
Each input defines a connection to an existing data source.
For each input file, a map task is spawned.
Item can also be applied separately to each input source group.
The sound mode can be applied separately to each input source.
You may assume that each input would have exactly one solution.
Recall that each input example is a vector of 20 elements.
Recall that each input example is a vector of 20 elements.
You may assume that each input would have exactly one solution.
There are no collisions(each input results in a different output).
Regular Expressions is nothing but a pattern to match for each input line.
Naive Bayes is called naive because it assumes that each input variable is independent.
Naive Bayes is called naive because it assumes that each input variable is independent.