-
Notifications
You must be signed in to change notification settings - Fork 31
/
Copy pathindex.html
489 lines (437 loc) · 24.2 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="None">
<link rel="shortcut icon" href="/img/favicon.ico">
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=0" />
<title>BigDL Project</title>
<link href="/css/bootstrap-3.3.7.min.css" rel="stylesheet">
<link href="/css/font-awesome-4.7.0.css" rel="stylesheet">
<link href="/css/base.css" rel="stylesheet">
<link rel="stylesheet" href="/css/highlight.css">
<link href="./extra.css" rel="stylesheet">
<!-- HTML5 shim and Respond.js IE8 support of HTML5 elements and media queries -->
<!--[if lt IE 9]>
<script src="https://oss.maxcdn.com/libs/html5shiv/3.7.0/html5shiv.js"></script>
<script src="https://oss.maxcdn.com/libs/respond.js/1.3.0/respond.min.js"></script>
<![endif]-->
<script src="/js/jquery-3.2.1.min.js"></script>
<script src="/js/bootstrap-3.3.7.min.js"></script>
<script src="/js/highlight.pack.js"></script>
<script src="/js/elasticlunr.min.js"></script>
<base target="_top">
<script>
var base_url = '.';
var is_top_frame = (window === window.parent);
var pageToc = [
{title: "What is BigDL", url: "#what-is-bigdl", children: [
]},
{title: "Why BigDL?", url: "#why-bigdl", children: [
]},
{title: "Getting Help", url: "#getting-help", children: [
]},
];
</script>
<script src="/js/base.js"></script>
<script>
(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
})(window,document,'script','//www.google-analytics.com/analytics.js','ga');
ga('create', 'UA-60548202-2', 'bigdl-project.github.io');
ga('send', 'pageview');
</script>
</head>
<body>
<script>
if (is_top_frame) { $('body').addClass('wm-top-page'); }
</script>
<nav class="navbar wm-page-top-frame">
<div class="container-fluid wm-top-container">
<div class="wm-top-tool pull-right wm-vcenter">
<form class="dropdown wm-vcentered" id="wm-search-form" action="./search.html">
<button id="wm-search-show" class="btn btn-sm btn-default" type="submit"><i class="fa fa-search" aria-hidden="true"></i></button>
<div class="input-group input-group-sm wm-top-search">
<input type="text" name="q" class="form-control" id="mkdocs-search-query" placeholder="Search">
<span class="input-group-btn" role="search">
<button class="btn btn-default dropdown-toggle collapse" data-toggle="dropdown" type="button"><span class="caret"></span></button>
<ul id="mkdocs-search-results" class="dropdown-menu dropdown-menu-right"></ul>
<button id="wm-search-go" class="btn btn-default" type="submit"><i class="fa fa-search" aria-hidden="true"></i></button>
</span>
</div>
</form>
</div>
<div class="wm-top-tool wm-vcenter pull-right wm-small-left">
<button id="wm-toc-button" type="button" class="btn btn-sm btn-default wm-vcentered"><i class="fa fa-th-list" aria-hidden="true"></i></button>
</div>
<div>
<div class="wm-top-title">
<a href="" class="wm-top-brand wm-top-link wm-vcenter ">
<img class="wm-top-logo" src="/img/bigdl_logo.png"/>
</a>
</div>
<div class="wm-top-title">
<select id="versions" class="wm-top-link wm-top-more wm-top-version-select" onchange="javascript:switchVersion(this)">
</select>
</div>
</div>
</div>
</nav>
<div id="main-content" class="wm-page-top-frame">
<nav class="wm-toc-pane">
<ul class="wm-toctree wm-toc-repo">
<li class="wm-toc-li wm-toc-lev1">
<a class="wm-article-link wm-toc-text wm-toc-repolink" href="https://github.com/intel-analytics/BigDL">
<img class="wm-top-logo" src="/img/github.ico"/>
Fork on GitHub
</a>
</li>
</ul>
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev1 wm-toc-opener"><span class="wm-toc-text">Overview</span>
</li>
<li class="wm-toc-li-nested collapse">
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev2 "><a href="." class="wm-article-link wm-toc-text">ReadMe</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="whitepaper/" class="wm-article-link wm-toc-text">White Paper</a>
</li>
</ul>
</li>
<li class="wm-toc-li wm-toc-lev1 wm-toc-opener"><span class="wm-toc-text">Releases</span>
</li>
<li class="wm-toc-li-nested collapse">
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev2 "><a href="release-download/" class="wm-article-link wm-toc-text">Download</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="release-docs/" class="wm-article-link wm-toc-text">Documentation</a>
</li>
</ul>
</li>
<li class="wm-toc-li wm-toc-lev1 "><a href="getting-started/" class="wm-article-link wm-toc-text">Getting Started</a>
</li>
<li class="wm-toc-li wm-toc-lev1 wm-toc-opener"><span class="wm-toc-text">Scala User Guide</span>
</li>
<li class="wm-toc-li-nested collapse">
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev2 wm-toc-opener"><span class="wm-toc-text">Install</span>
</li>
<li class="wm-toc-li-nested collapse">
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev3 "><a href="ScalaUserGuide/install-pre-built/" class="wm-article-link wm-toc-text">Use Pre-built Libs</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="ScalaUserGuide/install-build-src/" class="wm-article-link wm-toc-text">Build from Source Code</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="ScalaUserGuide/build-bigdl-core/" class="wm-article-link wm-toc-text">Build BigDL-core</a>
</li>
</ul>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="ScalaUserGuide/run/" class="wm-article-link wm-toc-text">Run</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="ScalaUserGuide/configuration/" class="wm-article-link wm-toc-text">Configuration</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="ScalaUserGuide/examples/" class="wm-article-link wm-toc-text">Examples</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="ScalaUserGuide/resources/" class="wm-article-link wm-toc-text">More Resources</a>
</li>
</ul>
</li>
<li class="wm-toc-li wm-toc-lev1 wm-toc-opener"><span class="wm-toc-text">Python User Guide</span>
</li>
<li class="wm-toc-li-nested collapse">
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev2 wm-toc-opener"><span class="wm-toc-text">Install</span>
</li>
<li class="wm-toc-li-nested collapse">
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev3 "><a href="PythonUserGuide/install-from-pip/" class="wm-article-link wm-toc-text">From pip</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="PythonUserGuide/install-without-pip/" class="wm-article-link wm-toc-text">Without pip</a>
</li>
</ul>
</li>
<li class="wm-toc-li wm-toc-lev2 wm-toc-opener"><span class="wm-toc-text">Run</span>
</li>
<li class="wm-toc-li-nested collapse">
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev3 "><a href="PythonUserGuide/run-from-pip/" class="wm-article-link wm-toc-text">After pip install</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="PythonUserGuide/run-without-pip/" class="wm-article-link wm-toc-text">Without pip install</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="PythonUserGuide/python-faq/" class="wm-article-link wm-toc-text">FAQ</a>
</li>
</ul>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="PythonUserGuide/python-examples/" class="wm-article-link wm-toc-text">Examples</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="PythonUserGuide/python-resources/" class="wm-article-link wm-toc-text">More Examples and Tutorials</a>
</li>
</ul>
</li>
<li class="wm-toc-li wm-toc-lev1 wm-toc-opener"><span class="wm-toc-text">Programming Guide</span>
</li>
<li class="wm-toc-li-nested collapse">
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev2 wm-toc-opener"><span class="wm-toc-text">Define a Model</span>
</li>
<li class="wm-toc-li-nested collapse">
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev3 "><a href="ProgrammingGuide/Model/Sequential/" class="wm-article-link wm-toc-text">Using Sequential API</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="ProgrammingGuide/Model/Functional/" class="wm-article-link wm-toc-text">Using Functional API</a>
</li>
</ul>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="ProgrammingGuide/optimization/" class="wm-article-link wm-toc-text">Optimization</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="ProgrammingGuide/MLPipeline/" class="wm-article-link wm-toc-text">Use Spark ML</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="ProgrammingGuide/visualization/" class="wm-article-link wm-toc-text">Visualization</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="ProgrammingGuide/run-on-ec2/" class="wm-article-link wm-toc-text">Run on Amazon EC2</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="ProgrammingGuide/run-on-dataproc/" class="wm-article-link wm-toc-text">Run on Google Cloud Dataproc</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="ProgrammingGuide/run-on-k8s/" class="wm-article-link wm-toc-text">Run on Kubernetes</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="ProgrammingGuide/tensorflow-support/" class="wm-article-link wm-toc-text">Tensorflow Support</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="ProgrammingGuide/caffe-support/" class="wm-article-link wm-toc-text">Caffe Support</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="ProgrammingGuide/keras-support/" class="wm-article-link wm-toc-text">Keras Support</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="ProgrammingGuide/quantization-support/" class="wm-article-link wm-toc-text">Quantization Support</a>
</li>
<li class="wm-toc-li wm-toc-lev2 wm-toc-opener"><span class="wm-toc-text">Define Customized Layer/Criterion</span>
</li>
<li class="wm-toc-li-nested collapse">
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev3 "><a href="ProgrammingGuide/add-layer-criterion/" class="wm-article-link wm-toc-text">Define New Layer/Criterion</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="ProgrammingGuide/Model/Serialization/" class="wm-article-link wm-toc-text">Implement Customized Serializer</a>
</li>
</ul>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="ProgrammingGuide/image-support/" class="wm-article-link wm-toc-text">Build Image Application</a>
</li>
</ul>
</li>
<li class="wm-toc-li wm-toc-lev1 wm-toc-opener"><span class="wm-toc-text">API Guide</span>
</li>
<li class="wm-toc-li-nested collapse">
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev2 "><a href="APIGuide/Engine/" class="wm-article-link wm-toc-text">Engine</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="APIGuide/Data/" class="wm-article-link wm-toc-text">Data</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="APIGuide/Transformer/" class="wm-article-link wm-toc-text">Transformer</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="APIGuide/Module/" class="wm-article-link wm-toc-text">Model</a>
</li>
<li class="wm-toc-li wm-toc-lev2 wm-toc-opener"><span class="wm-toc-text">Layers</span>
</li>
<li class="wm-toc-li-nested collapse">
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Layers/Containers/" class="wm-article-link wm-toc-text">Containers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Layers/Simple-Layers/" class="wm-article-link wm-toc-text">Simple Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Layers/Convolution-Layers/" class="wm-article-link wm-toc-text">Convolution Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Layers/Pooling-Layers/" class="wm-article-link wm-toc-text">Pooling Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Layers/Activations/" class="wm-article-link wm-toc-text">Activations</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Layers/Embedding-Layers/" class="wm-article-link wm-toc-text">Embedding Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Layers/MergeSplit-Layers/" class="wm-article-link wm-toc-text">Merge/Split Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Layers/Math-Layers/" class="wm-article-link wm-toc-text">Math Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Layers/Padding-Layers/" class="wm-article-link wm-toc-text">Padding Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Layers/Normalization-Layers/" class="wm-article-link wm-toc-text">Normalization Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Layers/Dropout-Layers/" class="wm-article-link wm-toc-text">Dropout Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Layers/Distance-Layers/" class="wm-article-link wm-toc-text">Distance Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Layers/Recurrent-Layers/" class="wm-article-link wm-toc-text">Recurrent Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Layers/Recursive-Layers/" class="wm-article-link wm-toc-text">Recursive Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Layers/Sparse-Layers/" class="wm-article-link wm-toc-text">Sparse Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Layers/Utilities/" class="wm-article-link wm-toc-text">Utilities</a>
</li>
</ul>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="APIGuide/Losses/" class="wm-article-link wm-toc-text">Losses</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="APIGuide/Initializers/" class="wm-article-link wm-toc-text">Initalizers</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="APIGuide/Regularizers/" class="wm-article-link wm-toc-text">Regularizers</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="APIGuide/Optimizers/Optimizer/" class="wm-article-link wm-toc-text">Optimizer</a>
</li>
<li class="wm-toc-li wm-toc-lev2 wm-toc-opener"><span class="wm-toc-text">Optim Methods</span>
</li>
<li class="wm-toc-li-nested collapse">
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Optimizers/OptimMethod/" class="wm-article-link wm-toc-text">OptimMethod</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Optimizers/Optim-Methods/" class="wm-article-link wm-toc-text">Optimization Algorithms</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/Optimizers/Learningrate-Scheduler/" class="wm-article-link wm-toc-text">LearningRate Scheduler</a>
</li>
</ul>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="APIGuide/Triggers/" class="wm-article-link wm-toc-text">Triggers</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="APIGuide/Metrics/" class="wm-article-link wm-toc-text">Metrics</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="APIGuide/DLFrames/DLEstimator_DLClassifier/" class="wm-article-link wm-toc-text">ML Pipeline</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="APIGuide/caffe_layer_list/" class="wm-article-link wm-toc-text">Supported Caffe Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="APIGuide/tensorflow_ops_list/" class="wm-article-link wm-toc-text">Supported Tensorflow Operations</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="APIGuide/keras-issues/" class="wm-article-link wm-toc-text">Keras Issues</a>
</li>
<li class="wm-toc-li wm-toc-lev2 wm-toc-opener"><span class="wm-toc-text">Full API docs</span>
</li>
<li class="wm-toc-li-nested collapse">
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/scaladoc/" class="wm-article-link wm-toc-text">Scala Docs</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="APIGuide/python-api-doc/" class="wm-article-link wm-toc-text">Python API Docs</a>
</li>
</ul>
</li>
</ul>
</li>
<li class="wm-toc-li wm-toc-lev1 wm-toc-opener"><span class="wm-toc-text">Keras-Style API Guide</span>
</li>
<li class="wm-toc-li-nested collapse">
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev2 "><a href="KerasStyleAPIGuide/keras-api-python/" class="wm-article-link wm-toc-text">Python Guide</a>
</li>
<li class="wm-toc-li wm-toc-lev2 "><a href="KerasStyleAPIGuide/keras-api-scala/" class="wm-article-link wm-toc-text">Scala Guide</a>
</li>
<li class="wm-toc-li wm-toc-lev2 wm-toc-opener"><span class="wm-toc-text">Layers</span>
</li>
<li class="wm-toc-li-nested collapse">
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev3 "><a href="KerasStyleAPIGuide/Layers/activation/" class="wm-article-link wm-toc-text">Activation</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="KerasStyleAPIGuide/Layers/initialization/" class="wm-article-link wm-toc-text">Initialization</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="KerasStyleAPIGuide/Layers/core/" class="wm-article-link wm-toc-text">Core Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="KerasStyleAPIGuide/Layers/convolutional/" class="wm-article-link wm-toc-text">Convolutional Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="KerasStyleAPIGuide/Layers/pooling/" class="wm-article-link wm-toc-text">Pooling Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="KerasStyleAPIGuide/Layers/recurrent/" class="wm-article-link wm-toc-text">Recurrent Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="KerasStyleAPIGuide/Layers/normalization/" class="wm-article-link wm-toc-text">Normalization Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="KerasStyleAPIGuide/Layers/embedding/" class="wm-article-link wm-toc-text">Embedding Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="KerasStyleAPIGuide/Layers/dropout/" class="wm-article-link wm-toc-text">Dropout Layers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="KerasStyleAPIGuide/Layers/advanced-activation/" class="wm-article-link wm-toc-text">Advanced Activations</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="KerasStyleAPIGuide/Layers/wrappers/" class="wm-article-link wm-toc-text">Layer Wrappers</a>
</li>
</ul>
</li>
<li class="wm-toc-li wm-toc-lev2 wm-toc-opener"><span class="wm-toc-text">Optimization</span>
</li>
<li class="wm-toc-li-nested collapse">
<ul class="wm-toctree">
<li class="wm-toc-li wm-toc-lev3 "><a href="KerasStyleAPIGuide/Optimization/training/" class="wm-article-link wm-toc-text">Train, evaluate or predict a model</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="KerasStyleAPIGuide/Optimization/optimizer/" class="wm-article-link wm-toc-text">Optimizers</a>
</li>
<li class="wm-toc-li wm-toc-lev3 "><a href="KerasStyleAPIGuide/Optimization/loss/" class="wm-article-link wm-toc-text">Losses</a>
</li>
</ul>
</li>
</ul>
</li>
<li class="wm-toc-li wm-toc-lev1 "><a href="powered-by/" class="wm-article-link wm-toc-text">Powered by</a>
</li>
<li class="wm-toc-li wm-toc-lev1 "><a href="known-issues/" class="wm-article-link wm-toc-text">Known Issues</a>
</li>
<li class="wm-toc-li wm-toc-lev1 "><a href="presentations/" class="wm-article-link wm-toc-text">Presentations</a>
</li>
</ul>
</nav>
<div class="wm-content-pane">
<iframe class="wm-article" name="article"></iframe>
</div>
</div>
<div class="container-fluid wm-page-content">
<h1><strong>ReadMe</strong></h1>
<hr>
<h2 id="what-is-bigdl"><strong>What is BigDL</strong></h2>
<p><a href="whitepaper/">BigDL</a> is a distributed deep learning library for Apache Spark; with BigDL, users can write their deep learning applications as standard Spark programs, which can directly run on top of existing Spark or Hadoop clusters. To makes it easy to build Spark and BigDL applications, a high level <a href="https://github.com/intel-analytics/analytics-zoo">Analytics Zoo</a> is provided for end-to-end analytics + AI pipelines.</p>
<ul>
<li>
<p><strong>Rich deep learning support.</strong> Modeled after <a href="http://torch.ch/">Torch</a>, BigDL provides comprehensive support for deep learning, including numeric computing (via <a href="https://github.com/intel-analytics/BigDL/tree/master/spark/dl/src/main/scala/com/intel/analytics/bigdl/tensor">Tensor</a>) and high level <a href="https://github.com/intel-analytics/BigDL/tree/master/spark/dl/src/main/scala/com/intel/analytics/bigdl/nn">neural networks</a>; in addition, users can load pre-trained <a href="http://caffe.berkeleyvision.org/">Caffe</a> or <a href="http://torch.ch/">Torch</a> or <a href="https://faroit.github.io/keras-docs/1.2.2/">Keras</a> models into Spark programs using BigDL.</p>
</li>
<li>
<p><strong>Extremely high performance.</strong> To achieve high performance, BigDL uses <a href="https://software.intel.com/en-us/intel-mkl">Intel MKL</a> and multi-threaded programming in each Spark task. Consequently, it is orders of magnitude faster than out-of-box open source <a href="http://caffe.berkeleyvision.org/">Caffe</a>, <a href="http://torch.ch/">Torch</a> or <a href="https://www.tensorflow.org/">TensorFlow</a> on a single-node Xeon (i.e., comparable with mainstream GPU).</p>
</li>
<li>
<p><strong>Efficiently scale-out.</strong> BigDL can efficiently scale out to perform data analytics at "Big Data scale", by leveraging <a href="http://spark.apache.org/">Apache Spark</a> (a lightning fast distributed data processing framework), as well as efficient implementations of synchronous SGD and all-reduce communications on Spark. </p>
</li>
</ul>
<hr />
<h2 id="why-bigdl"><strong>Why BigDL?</strong></h2>
<p>You may want to write your deep learning programs using BigDL if:</p>
<ul>
<li>
<p>You want to analyze a large amount of data on the same Big Data (Hadoop/Spark) cluster where the data are stored (in, say, HDFS, HBase, Hive, etc.).</p>
</li>
<li>
<p>You want to add deep learning functionalities (either training or prediction) to your Big Data (Spark) programs and/or workflow.</p>
</li>
<li>
<p>You want to leverage existing Hadoop/Spark clusters to run your deep learning applications, which can be then dynamically shared with other workloads (e.g., ETL, data warehouse, feature engineering, classical machine learning, graph analytics, etc.)</p>
</li>
</ul>
<hr />
<h2 id="getting-help"><strong>Getting Help</strong></h2>
<ul>
<li>
<p>For the technical overview of BigDL, please refer to the <a href="whitepaper/">BigDL white paper</a></p>
</li>
<li>
<p>You can check out the <a href="getting-started/">Getting Started page</a> for a quick overview of how to use BigDL, and the <a href="https://github.com/intel-analytics/BigDL-tutorials">BigDL Tutorials project</a> for step-by-step deep leaning tutorials on BigDL (using Python). </p>
</li>
<li>
<p>You can join the <a href="https://groups.google.com/forum/#!forum/bigdl-user-group">BigDL Google Group</a> (or subscribe to the <a href="mailto:[email protected]">Mail List</a>) for more questions and discussions on BigDL</p>
</li>
<li>
<p>You can post bug reports and feature requests at the <a href="https://github.com/intel-analytics/BigDL/issues">Issue Page</a></p>
</li>
<li>
<p>You may refer to <a href="https://github.com/intel-analytics/analytics-zoo">Analytics Zoo</a> for <em>high level pipeline APIs, built-in deep learning models, reference use cases,</em> etc. on Spark and BigDL</p>
</li>
</ul>
<br>
</div>
<footer class="col-md-12 wm-page-content">
<p>Documentation built with <a href="http://www.mkdocs.org/">MkDocs</a> using <a href="https://github.com/gristlabs/mkdocs-windmill">Windmill</a> theme by Grist Labs.</p>
</footer>
</body>
</html>
<!--
MkDocs version : 0.16.3
Build Date UTC : 2019-04-09 03:05:13
-->