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<!DOCTYPE html>
<html lang="en">
<head>
<title>Neuralizer</title>
<meta name=viewport content="width=device-width, initial-scale=1">
<meta name="description" content="
Neuralizer.ai - visual neural network designer.
Neuralizer makes building neural network topologies intuitive and accessible by using a flow-graph graphical user interface.
It allows building complex structures without writing any code, and then exporting them into multiple machine learning frameworks.
Neuralizer supports the following frameworks - TensorFlow, Keras, Caffe, Torch and PyTorch.
It also allows collaboration and sharing of models, which can be later used as sub-modules in more advanced structures.
">
<meta charset="UTF-8">
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<!-- bootstrap -->
<link href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u" crossorigin="anonymous">
<!-- bootstrap select -->
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/bootstrap-select/1.12.2/css/bootstrap-select.min.css" media="none" onload="if(media!='all')media='all'">
<!--Pulling Awesome Font -->
<link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet" media="none" onload="if(media!='all')media='all'">
<!-- Fonts -->
<link href="https://fonts.googleapis.com/css?family=Lato:100,700" rel="stylesheet">
<link href="https://fonts.googleapis.com/icon?family=Material+Icons" rel="stylesheet">
<!-- Styles -->
<link href="css/style.min.css?random=@Environment.TickCount" rel="stylesheet">
<!--<link rel="stylesheet" type="text/css" href="css/gitgraph.css" />-->
<!-- Animate -->
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/animate.css/3.5.2/animate.min.css">
<!--jQuery-->
<script src="https://code.jquery.com/jquery-3.1.1.min.js" integrity="sha256-hVVnYaiADRTO2PzUGmuLJr8BLUSjGIZsDYGmIJLv2b8=" crossorigin="anonymous"></script>
<!-- Masonry -->
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<script src="https://npmcdn.com/imagesloaded@4.1/imagesloaded.pkgd.min.js"></script>
<!-- Neuralizer Scripts -->
<script src="js/utils.js"></script>
<script src="js/shapes.js"></script>
<script src="js/objects.js"></script>
<script src="js/nn.js"></script>
<script src="js/transforms.js"></script>
<script src="js/files.js"></script>
<script src="js/server_communication.js"></script>
<script src="js/canvas_manager.js"></script>
<script src="js/side_bar_manager.js"></script>
<!--<script src="js/scripts.min.js?random=@Environment.TickCount"></script>-->
<!-- favicon -->
<link rel="icon" type="image/png" sizes="32x32" href="images/favicon-32x32.png">
<link rel="icon" type="image/png" sizes="96x96" href="images/favicon-96x96.png">
<link rel="icon" type="image/png" sizes="16x16" href="images/favicon-16x16.png">
<!-- MathJax -->
<!--<script type='text/javascript' src='http://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_SVG'></script>-->
<!--<script type="text/x-mathjax-config">-->
<!--MathJax.Hub.Config({-->
<!--tex2jax: {inlineMath: [['$','$'], ['\\(','\\)']]},-->
<!--displayAlign: "left",-->
<!--displayIndent: "2em",-->
<!--SVG: { scale: 120 }-->
<!--});-->
<!--</script>-->
<!---->
<script type="text/javascript">
// redirect mobile devices to unsupported page
if (screen.width <= 699) {
document.location = "http://neuralizer.ai/unsupported.html";
}
if (
(navigator.userAgent.match(/iPhone/i)) || (navigator.userAgent.match(/iPod/i))) {
location.replace("http://neuralizer.ai/unsupported.html");
}
</script>
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var sidebar_manager;
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function send_email() {
var body = JSON.stringify(canvas_manager.stored_states[canvas_manager.current_timestep]);
var subject = "Neuralizer Topology";
window.open('mailto:' + '?subject=' +subject + '&body=' + body);
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function post_to_twitter() {
var link="http://neuralizer.ai";
window.open('https://twitter.com/intent/tweet?text=See my latest model at Neuralizer.ai: ' + link);
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$("#ConvolutionNumberOfOFMs").val(),
$("#ConvolutionKernelPropertiesWidth").val(),
$("#ConvolutionKernelPropertiesHeight").val(),
$("#ConvolutionKernelPropertiesStride").val(),
$("#ConvolutionKernelPropertiesStride").val(),
$("#ConvolutionKernelPropertiesPadding").val(),
$("#ConvolutionKernelPropertiesPadding").val(),
$("#ConvolutionKernelPropertiesDilation").val(),
$("#ConvolutionKernelPropertiesDilation").val());
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var poolingType = $("#PoolingType").val();
if (poolingType == "MaxPooling") {
layer = new MaxPooling(
$("#PoolingWindowPropertiesWidth").val(),
$("#PoolingWindowPropertiesHeight").val(),
$("#PoolingWindowPropertiesStride").val(),
$("#PoolingWindowPropertiesStride").val(),
$("#PoolingWindowPropertiesPadding").val(),
$("#PoolingWindowPropertiesPadding").val(),
$("#PoolingType").val());
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layer = new AveragePooling(
$("#PoolingWindowPropertiesWidth").val(),
$("#PoolingWindowPropertiesHeight").val(),
$("#PoolingWindowPropertiesStride").val(),
$("#PoolingWindowPropertiesStride").val(),
$("#PoolingWindowPropertiesPadding").val(),
$("#PoolingWindowPropertiesPadding").val(),
$("#PoolingType").val());
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layer = new StochasticPooling(
$("#PoolingWindowPropertiesWidth").val(),
$("#PoolingWindowPropertiesHeight").val(),
$("#PoolingWindowPropertiesStride").val(),
$("#PoolingWindowPropertiesStride").val(),
$("#PoolingWindowPropertiesPadding").val(),
$("#PoolingWindowPropertiesPadding").val(),
$("#PoolingType").val());
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} else if (layerType == "InnerProduct") {
layer = new InnerProduct($("#InnerProductOutputSize").val());
} else if (layerType == "Deconvolution") {
layer = new Deconvolution(
$("#DeconvolutionNumberOfOFMs").val(),
$("#DeconvolutionKernelPropertiesWidth").val(),
$("#DeconvolutionKernelPropertiesHeight").val(),
$("#DeconvolutionKernelPropertiesStride").val(),
$("#DeconvolutionKernelPropertiesStride").val(),
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var activationType = $("#ActivationType").val();
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layer = new ReLU();
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layer = new ELU();
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layer = new Sigmoid();
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layer = new HardSigmoid();
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layer = new Dropout($("#RegularizationDropoutKeepProbability").val());
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layer = new Maxout();
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layer = new DropConnect();
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layer = new Zoneout();
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var reshapeType = $("#DataManipulationType").val();
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layer = new Concatenate();
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layer = new Reshape();
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layer = new Flatten();
} else if (reshapeType == "Permute") {
layer = new Permute();
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layer = new Repeat();
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var normalizationType = $("#NormalizationType").val();
if (normalizationType == "LocalResponseNormalization") {
layer = new LRN(
$("#NormalizationLocalResponseNormalizationNumberOfNeighbours").val(),
$("#K").val(),
$("#Alpha").val(),
$("#Beta").val());
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layer = new BatchNormalization();
} else if (normalizationType == "L2Normalization") {
layer = new L2Normalization();
}
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var elementWiseOperator = $("#ElementWiseType").val();
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layer = new Add();
} else if (elementWiseOperator == "Multiply") {
layer = new Multiply();
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} else if (layerType == "Recurrent") {
} else {
layer = new Layer();
}
return layer;
}
function get_short_name(layer_type) {
// get a short default name for a layer
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var group = layer_types[layer_type_group];
for (key in group) {
key_fixed = key.replace(/ /g, '');
if (layer_type == key_fixed) {
return group[key]["short_name"];
}
}
}
return "";
}
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var layer = create_new_layer();
var layer_type = $("#layerType").val();
// var layer_subtype = layer.subtype;
var layer_name = $("#layerName").val();
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layer_name = get_short_name(layer_type);
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layer_name = canvas_manager.add_layer_counter(layer_name);
sidebar_manager.layer_name_changed_manually = false;
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var x = canvas_manager.cursor_x;
var y = canvas_manager.cursor_y;
var color = canvas_manager.selected_color_idx;
var shape;
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shape = new Diamond(x, y, 40, 40, 2, 3, layer_name, fill_colors[color], border_colors[color]);
} else if (layer_type == "DataManipulation") {
shape = new Triangle(x, y, 40, 40, 5, 3, layer_name, fill_colors[color], border_colors[color]);
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shape = new Ellipse(x, y, 40, 40, 3, layer_name, fill_colors[color], border_colors[color]);
} else if (layer_type == "Pooling") {
shape = new Hexagon(x, y, 80, 40, 2, 3, layer_name, fill_colors[color], border_colors[color]);
} else if (layer_type == "Optimizer") {
shape = new Step(x, y, 80, 40, 2, 10, 3, layer_name, fill_colors[color], border_colors[color]);
// } else if (layer_type == "Normalization") {
// shape = new HalfCircle(x, y, 40, 40, 3, layer_name, fill_colors[color], border_colors[color]);
} else if (layer_type == "Convolution") {
shape = new Trapezoid(x, y, 80, 40, 6, 15, 3, layer_name, fill_colors[color], border_colors[color], false);
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shape = new Rectangle(x, y, 80, 40, 6, 0, 3, layer_name, fill_colors[color], border_colors[color], false);
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shape.set_layer(layer);
canvas_manager.add_shape(shape);
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canvas_manager.show_message("Drop here", false);
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canvas_manager.remove_selected_shapes();
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sidebar_manager = new SidebarManager();
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canvas_manager.update_cursor_state(evt.clientX, evt.clientY, evt.button, true);
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// select the currently pointed shape if it not already selected
canvas_manager.select_shape(canvas_manager.shape_with_content_pointed_by_cursor);
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// add points to curr arrow or attach / detach an arrow
canvas_manager.extend_current_arrow();
canvas_manager.reset_selected_shapes();
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canvas_manager.copy_from_clipboard();
canvas_manager.paste_from_clipboard();
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// sidebar add/remove button toggle
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canvas_manager.initialize_selection_box();
sidebar_manager.hide_remove_layer_button();
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sidebar_manager.show_remove_layer_button();
drop_here_message_worked = true;
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// update side bar properties
var selected_shape = canvas_manager.get_primary_selected_shape();
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sidebar_manager.set_layer_name(selected_shape.text);
sidebar_manager.set_layer_params(selected_shape.layer);
sidebar_manager.change_selected_color(canvas_manager.get_shape_color_idx(selected_shape));
sidebar_manager.set_full_details_switch(selected_shape.full_details);
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sidebar_manager.set_layer_name("");
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sidebar_manager.focus_layer_name();
// draw
canvas_manager.draw_curr_state_if_necessary();
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function mouseMove(evt) {
$('body').css('cursor', 'default');
canvas_manager.update_cursor_state(evt.clientX, evt.clientY, evt.button);
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canvas_manager.set_selection_box();
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sidebar_manager.show_remove_layer_button();
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$('body').css('cursor', 'pointer');
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canvas_manager.highlight_selected_shapes();
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canvas_manager.translate_canvas(canvas_manager.cursor_diff_x, canvas_manager.cursor_diff_y);
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if (canvas_manager.current_arrow.vertices.length > 0) {
canvas_manager.current_arrow.add_point(new Vertex(canvas_manager.cursor_x, canvas_manager.cursor_y, 0));
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canvas_manager.draw_curr_state_if_necessary();
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function mouseUp(evt) {
canvas_manager.hide_selection_box();
canvas_manager.update_cursor_state(evt.clientX, evt.clientY, evt.button, false);
// just for moving all lines to the correct place
canvas_manager.move_shapes(canvas_manager.shapes, 0, 0);
canvas_manager.save_state();
}
function mouseWheel(evt) {
canvas_manager.update_cursor_state(evt.clientX, evt.clientY, evt.button, false);
var change = 0.1;
var delta = Math.max(-1, Math.min(1, (evt.wheelDelta || -evt.detail)))*change;
canvas_manager.zoom_canvas(delta);
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function keyPress(evt) {
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// Del ==> Remove
$("#Remove").click();
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// Ctrl + A ==> Select All
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// Ctrl + C ==> Copy
$("#Copy").click();
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// Ctrl + V ==> Paste
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// Ctrl + Z ==> Undo
$("#Undo").click();
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// Ctrl + Y || Ctrl + Shift + Z ==> Redo
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// Escape ==> Cancel current action
$("#Cancel").click();
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// Backspace ==> Cancel last arrow point
$("#UndoPoint").click();
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// Ctrl + G ==> Group
$("#Group").click();
evt.preventDefault();
evt.stopPropagation();
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// Ctrl + X ==> Printing graph test
console.log(canvas_manager.to_graph());
}
canvas_manager.draw_curr_state_if_necessary();
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// event listeners
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window.addEventListener('resize', function() { canvas_manager.fix_canvas_size(document.getElementById('cnv')) });
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fileInput.addEventListener('change', load_state_from_file);
sidebar_manager.create_layers_factory($("#ParamsContainer"));
sidebar_manager.create_layers_selector($("#LayersSelector"));
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</head>
<body onload="run()" style="overflow: hidden;" oncontextmenu="return false">
<div class="preloader stretched"></div>
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<span class="container" style="width: 100%; padding: 0;">
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<div id="before_icon" class="side-icon before-side-icon" style="height: 100px; cursor: default">
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<div class="col-xs-2 side-bar animated collapse" id="sidebar_container">
<div class="appName animated fadeInUp">
<!--<h1 class="title">neuralizer</h1>-->
<img src="images/neuralizer-logo-green-slim.png" class="logo" style="width: 90%;">
<b class="title-subscript">visual neural network designer</b>
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<br>
<div id="designer">
<div class="form-group">
<label for="filename">Topology Name</label>
<input type="text" id="filename" class="form-control" placeholder="Topology Name">
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<hr class="separator">
<div class="form-group">
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<div class="form-group">
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<div class="form-group">
<label for="framework">Export Topology to Framework</label>
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<option data-content="<img src='images/icon-tensorflow.png' style='margin-right:10px'>TensorFlow"
value="TensorFlow">TensorFlow
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<option data-content="<img src='images/icon-caffe.png' style='margin-right:10px'> Caffe" value="Caffe">
Caffe
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<option data-content="<img src='images/icon-theano.png' style='margin-right:10px'> Theano"
value="Theano">Theano
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<option data-content="<img src='images/icon-torch.png' style='margin-right:10px'> Torch" value="Torch">
Torch
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<option data-content="<img src='images/icon-keras.png' style='margin-right:10px'> Keras" value="Keras">
Keras
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<option data-content="<img src='images/icon-pytorch.png' style='margin-right:10px'> PyTorch"
value="Keras">PyTorch
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<option data-content="<img src='images/icon-neuralizer-new.png' style='margin-right:10px'>Neuralizer"
value="Neuralizer">Neuralizer
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<!-- Save Topology to File -->
<div class="form-group">
<div style="text-align: center; width: 100%">
<a class="btn rect-btn purple small-rect" id="saveTopology" onclick="save_current_state_to_file($('#framework').val())">
<i class="fa fa-download" aria-hidden="true"></i> Export
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<a class="btn rect-btn purple small-rect" id="loadTopology" onclick="document.getElementById('fileInput').click()">
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<input type="file" id="fileInput" class="hidden">
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<div class="form-group">
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<a class="btn rect-btn big-rect purple" id="saveTopologyImage" class="form-control" onclick="save_current_state_as_image()"><i class="fa fa-picture-o" aria-hidden="true"></i> Save </a>
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<h1>Copied to clipboard</h1>
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<div class="row">
<div class="col-sm-10 ">
<div id="imaginary_container">
<div class="input-group stylish-input-group">
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<div class="grid animated" id="models_container">
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<!-- Welcome Screen -->
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<div id="welcome_screen" class="centered" style="width: 750px">
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<div id="welcome_screen_background" style="width: 450px; height: 100%; background-color: transparent; background-image: none;float: left">
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<div id="welcome_login" style="width: 300px; float: right; text-align: center; background: none; height: 100%; padding: 20px">
<div class="appName animated fadeInUp" style="margin-top: 70px;">
<!--<h1 class="title">neuralizer</h1>-->
<img src="images/neuralizer-logo-green-slim.png" class="logo" style="width: 90%; ">
<b class="title-subscript">visual neural network designer</b>
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<button type="submit" class="btn rect-btn purple-bg small-rect" onclick="sidebar_manager.signup('WelcomeUserAuthenticationForm')" style="margin: 5px; min-width: 100px">Sign up</button>
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<a class="" style="background-color: transparent; color: white" onclick="sidebar_manager.start(false)"> Login later </a>
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