35 lines
1.3 KiB
Nim
35 lines
1.3 KiB
Nim
# Copyright 2022 Mattia Giambirtone & All Contributors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import std/math
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func step*(input: float): float = (if input < 0.0: 0.0 else: 1.0)
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func sigmoid*(input: float): float = 1 / (1 + exp(-input))
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func silu*(input: float): float = 1 / (1 + exp(-input))
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func relu*(input: float): float = max(0.0, input)
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func htan*(input: float): float =
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let temp = exp(2 * input)
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result = (temp - 1) / (temp + 1)
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type Activation* = ref object
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function*: proc (input: float): float {.noSideEffect.}
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derivative*: proc (x, y: float): float {.noSideEffect.}
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proc newActivation*(function: proc (input: float): float {.noSideEffect.}, derivative: proc (x, y: float): float {.noSideEffect.}): Activation =
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## Creates a new activation object
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new(result)
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result.function = function
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result.derivative = derivative |