aerovulpe
/ opengraph.kt
Created
March 13, 2023 02:25
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| /* | |
| * © ChatKitty, Inc. 2022 - All Rights Reserved. | |
| * Unauthorized copying of this file, via any medium is strictly prohibited. | |
| * This source code and all its derivatives are proprietary and confidential. | |
| */ | |
| package com.chatkitty.domain.infrastructure.opengraph | |
| import org.htmlcleaner.HtmlCleaner | |
| import java.io.BufferedReader | |
| import java.io.InputStreamReader |
aerovulpe
/ nnCostFunction.m
Last active
August 29, 2015 14:16
— forked from denzilc/nnCostFunction.m
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| function [J grad] = nnCostFunction(nn_params, ... | |
| input_layer_size, ... | |
| hidden_layer_size, ... | |
| num_labels, ... | |
| X, y, lambda) | |
| %NNCOSTFUNCTION Implements the neural network cost function for a two layer | |
| %neural network which performs classification | |
| % [J grad] = NNCOSTFUNCTON(nn_params, hidden_layer_size, num_labels, ... | |
| % X, y, lambda) computes the cost and gradient of the neural network. The | |
| % parameters for the neural network are "unrolled" into the vector |