Layer
Base type for neural layers
Constructors
| Constructor | Description |
new()
Signature: unit -> Layer
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Instance members
| Instance member | Description |
Decode(arg1)
Signature: DV -> unit
Modifiers: abstract |
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Encode()
Signature: unit -> DV
Modifiers: abstract |
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EncodeLength
Signature: int
Modifiers: abstract |
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Init()
Signature: unit -> unit
Modifiers: abstract |
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Reset()
Signature: unit -> unit
Modifiers: abstract |
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Run(arg1)
Signature: DM -> DM
Modifiers: abstract |
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ToStringFull()
Signature: unit -> string
Modifiers: abstract |
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Train(d, v, par)
Signature: (d:Dataset * v:Dataset * par:Params) -> D * D []
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Train(d, par)
Signature: (d:Dataset * par:Params) -> D * D []
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Train(d, v)
Signature: (d:Dataset * v:Dataset) -> D * D []
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Train(d)
Signature: d:Dataset -> D * D []
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Visualize()
Signature: unit -> string
Modifiers: abstract |
Static members
| Static member | Description |
decode(l w)
Signature: l:Layer -> w:DV -> unit
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encode(l)
Signature: l:Layer -> DV
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encodeLength(l)
Signature: l:Layer -> int
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init(l)
Signature: l:Layer -> unit
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reset(l)
Signature: l:Layer -> unit
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run(x l)
Signature: x:DM -> l:Layer -> DM
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toString(l)
Signature: l:Layer -> string
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toStringFull(l)
Signature: l:Layer -> string
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Train(l, d, v, par)
Signature: (l:Layer * d:Dataset * v:Dataset * par:Params) -> D * D []
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Train(l, d, v)
Signature: (l:Layer * d:Dataset * v:Dataset) -> D * D []
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Train(l, d, par)
Signature: (l:Layer * d:Dataset * par:Params) -> D * D []
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Train(l, d)
Signature: (l:Layer * d:Dataset) -> D * D []
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visualize(l)
Signature: l:Layer -> string
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