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@webwriter/neural-network

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Deep learning visualization for feed-forward networks with custom datasets, training and prediction.

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import { LitElementWw } from '@webwriter/lit' import { CSSResult, TemplateResult, html, css } from 'lit' import { customElement } from 'lit/decorators.js' import { globalStyles } from '@/global_styles' import { CCard } from '../reusables/c-card' import SlDetails from '@shoelace-style/shoelace/dist/components/details/details.component.js' import { msg } from '@lit/localize' export class HelpAboutCard extends LitElementWw { static scopedElements = { 'c-card': CCard, 'sl-details': SlDetails, } // STYLES - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - static styles: CSSResult[] = [ globalStyles, css` .developerSlDetails::part(content) { margin: 0; padding: 0; height: 700px; } iframe { width: 100%; height: 100%; } `, ] // RENDER - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - render(): TemplateResult<1> { return html` <c-card> <div slot="title">${msg('About this app')}</div> <div slot="content"> <p> ${msg( 'This app was developed by Christian Koch, a student at RWTH Aachen University, with support of Frederic Salmen and the chair i9 at RWTH Aachen University.', )} </p> <sl-details summary=${msg('About the developer')} class="developerSlDetails" > <iframe src="https://christian-koch.eu" title="Christian Koch" frameborder="0" ></iframe> </sl-details> <sl-details summary=${msg('License')}> <object style="width: 100%;" data="/assets/LICENSE.txt"></object> </sl-details> <sl-details summary="Third-party licenses"> <object style="width: 100%;" data="/assets/THIRDPARTYLICENSES.txt" ></object> </sl-details> <sl-details summary="Third-party data sets"> <p> ${msg( 'All third-party data sets have been published under public domain', )} </p> </sl-details> </div> </c-card> ` } }