@ai-on-browser/data-analysis-models
Version:
Data analysis model package without any dependencies
58 lines (51 loc) • 1.17 kB
JavaScript
import Layer from './base.js'
/**
* Bimodal derivative adaptive activation layer
*/
export default class BimodalDerivativeAdaptiveActivationLayer extends Layer {
/**
* @param {object} config object
* @param {number} [config.alpha] Alpha
*/
constructor({ alpha = 1, ...rest }) {
super(rest)
this._alpha = alpha
}
calc(x) {
this._i = x
const o = x.copy()
o.map(v => (1 / (1 + Math.exp(-v)) - 1 / (1 + Math.exp(-v - this._alpha))) / 2)
return o
}
grad(bo) {
this._bo = bo
const bi = bo.copy()
bi.broadcastOperate(
this._i,
(a, b) =>
(a *
(Math.exp(-b) / (1 + Math.exp(-b)) ** 2 -
Math.exp(-b - this._alpha) / (1 + Math.exp(-b - this._alpha)) ** 2)) /
2
)
return bi
}
update(optimizer) {
let s = 0
for (let i = 0; i < this._i.length; i++) {
s +=
(this._bo.value[i] *
(-Math.exp(-this._i.value[i] - this._alpha) /
(1 + Math.exp(-this._i.value[i] - this._alpha)) ** 2)) /
2
}
this._alpha -= optimizer.delta('alpha', s / this._i.length)
}
toObject() {
return {
type: 'bdaa',
alpha: this._alpha,
}
}
}
BimodalDerivativeAdaptiveActivationLayer.registLayer('bdaa')