@tensorflow-models/coco-ssd
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Object detection model (coco-ssd) in TensorFlow.js
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TypeScript
/**
* @license
* Copyright 2018 Google Inc. 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.
* =============================================================================
*/
import { Scalar, Tensor1D, Tensor2D } from '../tensor';
import { TensorLike } from '../types';
/**
* @docalias (data: Tensor2D, c: Tensor2D, h: Tensor2D): [Tensor2D, Tensor2D]
*/
export declare type LSTMCellFunc = {
(data: Tensor2D, c: Tensor2D, h: Tensor2D): [Tensor2D, Tensor2D];
};
/**
* Computes the next states and outputs of a stack of LSTMCells.
*
* Each cell output is used as input to the next cell.
*
* Returns `[cellState, cellOutput]`.
*
* Derived from tf.contrib.rn.MultiRNNCell.
*
* @param lstmCells Array of LSTMCell functions.
* @param data The input to the cell.
* @param c Array of previous cell states.
* @param h Array of previous cell outputs.
*/
/** @doc {heading: 'Operations', subheading: 'RNN'} */
declare function multiRNNCell_(lstmCells: LSTMCellFunc[], data: Tensor2D | TensorLike, c: Array<Tensor2D | TensorLike>, h: Array<Tensor2D | TensorLike>): [Tensor2D[], Tensor2D[]];
/**
* Computes the next state and output of a BasicLSTMCell.
*
* Returns `[newC, newH]`.
*
* Derived from tf.contrib.rnn.BasicLSTMCell.
*
* @param forgetBias Forget bias for the cell.
* @param lstmKernel The weights for the cell.
* @param lstmBias The bias for the cell.
* @param data The input to the cell.
* @param c Previous cell state.
* @param h Previous cell output.
*/
/** @doc {heading: 'Operations', subheading: 'RNN'} */
declare function basicLSTMCell_(forgetBias: Scalar | TensorLike, lstmKernel: Tensor2D | TensorLike, lstmBias: Tensor1D | TensorLike, data: Tensor2D | TensorLike, c: Tensor2D | TensorLike, h: Tensor2D | TensorLike): [Tensor2D, Tensor2D];
export declare const basicLSTMCell: typeof basicLSTMCell_;
export declare const multiRNNCell: typeof multiRNNCell_;
export {};