/**
|
* @license
|
* Copyright 2018 Google LLC. All Rights Reserved.
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
* you may not use this file except in compliance with the License.
|
* You may obtain a copy of the License at
|
*
|
* http://www.apache.org/licenses/LICENSE-2.0
|
*
|
* Unless required by applicable law or agreed to in writing, software
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
* See the License for the specific language governing permissions and
|
* limitations under the License.
|
* =============================================================================
|
*/
|
/// <amd-module name="@tensorflow/tfjs-core/dist/ops/dropout" />
|
import { Tensor } from '../tensor';
|
import { TensorLike } from '../types';
|
/**
|
* Computes dropout.
|
*
|
* ```js
|
* const x = tf.tensor1d([1, 2, 2, 1]);
|
* const rate = 0.75;
|
* const output = tf.dropout(x, rate);
|
* output.print();
|
* ```
|
*
|
* @param x A floating point Tensor or TensorLike.
|
* @param rate A float in the range [0, 1). The probability that each element
|
* of x is discarded.
|
* @param noiseShape An array of numbers of type int32, representing the
|
* shape for randomly generated keep/drop flags. If the noiseShape has null
|
* value, it will be automatically replaced with the x's relative dimension
|
* size. Optional.
|
* @param seed Used to create random seeds. Optional.
|
* @returns A Tensor of the same shape of x.
|
*
|
* @doc {heading: 'Operations', subheading: 'Dropout'}
|
*/
|
declare function dropout_(x: Tensor | TensorLike, rate: number, noiseShape?: number[], seed?: number | string): Tensor;
|
export declare const dropout: typeof dropout_;
|
export {};
|
