-
Notifications
You must be signed in to change notification settings - Fork 7
/
index.html
410 lines (398 loc) · 142 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
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<title>FWMLearning 💻</title>
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<link rel="stylesheet" href="style/style.css" />
<link
rel="stylesheet"
href="https://cdn.jsdelivr.net/gh/lykmapipo/themify-icons@0.1.2/css/themify-icons.css"
/>
<link
rel="stylesheet"
href="https://cdn.jsdelivr.net/gh/fancyapps/fancybox@3.5.7/dist/jquery.fancybox.min.css"
/>
<link
rel="stylesheet"
href="https://cdn.jsdelivr.net/npm/slick-carousel@1.8.1/slick/slick.css"
/>
<link
rel="stylesheet"
href="https://cdn.jsdelivr.net/npm/slick-carousel@1.8.1/slick/slick-theme.css"
/>
<link
rel="stylesheet"
href="https://stackpath.bootstrapcdn.com/font-awesome/4.7.0/css/font-awesome.min.css"
integrity="sha384-wvfXpqpZZVQGK6TAh5PVlGOfQNHSoD2xbE+QkPxCAFlNEevoEH3Sl0sibVcOQVnN"
crossorigin="anonymous"
/>
</head>
<body>
<nav class="navbar">
<ul class="navbar-nav">
<li class="logo">
<a href="#" class="nav-link">
<span class="link-text logo-text">FWML</span>
<svg
aria-hidden="true"
focusable="false"
data-prefix="fad"
data-icon="angle-double-right"
role="img"
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 448 512"
class="svg-inline--fa fa-angle-double-right fa-w-14 fa-5x"
>
<g class="fa-group">
<path
fill="currentColor"
d="M224 273L88.37 409a23.78 23.78 0 0 1-33.8 0L32 386.36a23.94 23.94 0 0 1 0-33.89l96.13-96.37L32 159.73a23.94 23.94 0 0 1 0-33.89l22.44-22.79a23.78 23.78 0 0 1 33.8 0L223.88 239a23.94 23.94 0 0 1 .1 34z"
class="fa-secondary"
></path>
<path
fill="currentColor"
d="M415.89 273L280.34 409a23.77 23.77 0 0 1-33.79 0L224 386.26a23.94 23.94 0 0 1 0-33.89L320.11 256l-96-96.47a23.94 23.94 0 0 1 0-33.89l22.52-22.59a23.77 23.77 0 0 1 33.79 0L416 239a24 24 0 0 1-.11 34z"
class="fa-primary"
></path>
</g>
</svg>
</a>
</li>
<li class="nav-item">
<a href="index.html" class="nav-link menu-item">
<svg
xmlns="http://www.w3.org/2000/svg"
class="svg-inline--fa fa-home fa-w-18"
role="img"
aria-hidden="true"
viewBox="0 0 576 512"
focusable="false"
data-icon="home"
data-prefix="fas"
>
<path
fill="currentColor"
d="M 280.37 148.26 L 96 300.11 V 464 a 16 16 0 0 0 16 16 l 112.06 -0.29 a 16 16 0 0 0 15.92 -16 V 368 a 16 16 0 0 1 16 -16 h 64 a 16 16 0 0 1 16 16 v 95.64 a 16 16 0 0 0 16 16.05 L 464 480 a 16 16 0 0 0 16 -16 V 300 L 295.67 148.26 a 12.19 12.19 0 0 0 -15.3 0 Z M 571.6 251.47 L 488 182.56 V 44.05 a 12 12 0 0 0 -12 -12 h -56 a 12 12 0 0 0 -12 12 v 72.61 L 318.47 43 a 48 48 0 0 0 -61 0 L 4.34 251.47 a 12 12 0 0 0 -1.6 16.9 l 25.5 31 A 12 12 0 0 0 45.15 301 l 235.22 -193.74 a 12.19 12.19 0 0 1 15.3 0 L 530.9 301 a 12 12 0 0 0 16.9 -1.6 l 25.5 -31 a 12 12 0 0 0 -1.7 -16.93 Z"
/>
</svg>
<span class="link-text">Home</span>
</a>
</li>
<li class="nav-item">
<a href="computer_vision/image.html" class="nav-link menu-item">
<svg
xmlns="http://www.w3.org/2000/svg"
class="svg-inline--fa fa-images fa-w-18"
role="img"
aria-hidden="true"
viewBox="0 0 576 512"
focusable="false"
data-icon="images"
data-prefix="fas"
>
<path
fill="currentColor"
d="M 480 416 v 16 c 0 26.51 -21.49 48 -48 48 H 48 c -26.51 0 -48 -21.49 -48 -48 V 176 c 0 -26.51 21.49 -48 48 -48 h 16 v 208 c 0 44.112 35.888 80 80 80 h 336 Z m 96 -80 V 80 c 0 -26.51 -21.49 -48 -48 -48 H 144 c -26.51 0 -48 21.49 -48 48 v 256 c 0 26.51 21.49 48 48 48 h 384 c 26.51 0 48 -21.49 48 -48 Z M 256 128 c 0 26.51 -21.49 48 -48 48 s -48 -21.49 -48 -48 s 21.49 -48 48 -48 s 48 21.49 48 48 Z m -96 144 l 55.515 -55.515 c 4.686 -4.686 12.284 -4.686 16.971 0 L 272 256 l 135.515 -135.515 c 4.686 -4.686 12.284 -4.686 16.971 0 L 512 208 v 112 H 160 v -48 Z"
/>
</svg>
<span class="link-text">Image</span>
</a>
</li>
<li class="nav-item">
<a href="Sound/sounds.html" class="nav-link menu-item">
<svg
xmlns="http://www.w3.org/2000/svg"
class="svg-inline--fa fa-soundcloud fa-w-20"
role="img"
aria-hidden="true"
viewBox="0 0 640 512"
focusable="false"
data-icon="soundcloud"
data-prefix="fab"
>
<path
fill="currentColor"
d="M 111.4 256.3 l 5.8 65 l -5.8 68.3 c -0.3 2.5 -2.2 4.4 -4.4 4.4 s -4.2 -1.9 -4.2 -4.4 l -5.6 -68.3 l 5.6 -65 c 0 -2.2 1.9 -4.2 4.2 -4.2 c 2.2 0 4.1 2 4.4 4.2 Z m 21.4 -45.6 c -2.8 0 -4.7 2.2 -5 5 l -5 105.6 l 5 68.3 c 0.3 2.8 2.2 5 5 5 c 2.5 0 4.7 -2.2 4.7 -5 l 5.8 -68.3 l -5.8 -105.6 c 0 -2.8 -2.2 -5 -4.7 -5 Z m 25.5 -24.1 c -3.1 0 -5.3 2.2 -5.6 5.3 l -4.4 130 l 4.4 67.8 c 0.3 3.1 2.5 5.3 5.6 5.3 c 2.8 0 5.3 -2.2 5.3 -5.3 l 5.3 -67.8 l -5.3 -130 c 0 -3.1 -2.5 -5.3 -5.3 -5.3 Z M 7.2 283.2 c -1.4 0 -2.2 1.1 -2.5 2.5 L 0 321.3 l 4.7 35 c 0.3 1.4 1.1 2.5 2.5 2.5 s 2.2 -1.1 2.5 -2.5 l 5.6 -35 l -5.6 -35.6 c -0.3 -1.4 -1.1 -2.5 -2.5 -2.5 Z m 23.6 -21.9 c -1.4 0 -2.5 1.1 -2.5 2.5 l -6.4 57.5 l 6.4 56.1 c 0 1.7 1.1 2.8 2.5 2.8 s 2.5 -1.1 2.8 -2.5 l 7.2 -56.4 l -7.2 -57.5 c -0.3 -1.4 -1.4 -2.5 -2.8 -2.5 Z m 25.3 -11.4 c -1.7 0 -3.1 1.4 -3.3 3.3 L 47 321.3 l 5.8 65.8 c 0.3 1.7 1.7 3.1 3.3 3.1 c 1.7 0 3.1 -1.4 3.1 -3.1 l 6.9 -65.8 l -6.9 -68.1 c 0 -1.9 -1.4 -3.3 -3.1 -3.3 Z m 25.3 -2.2 c -1.9 0 -3.6 1.4 -3.6 3.6 l -5.8 70 l 5.8 67.8 c 0 2.2 1.7 3.6 3.6 3.6 s 3.6 -1.4 3.9 -3.6 l 6.4 -67.8 l -6.4 -70 c -0.3 -2.2 -2 -3.6 -3.9 -3.6 Z m 241.4 -110.9 c -1.1 -0.8 -2.8 -1.4 -4.2 -1.4 c -2.2 0 -4.2 0.8 -5.6 1.9 c -1.9 1.7 -3.1 4.2 -3.3 6.7 v 0.8 l -3.3 176.7 l 1.7 32.5 l 1.7 31.7 c 0.3 4.7 4.2 8.6 8.9 8.6 s 8.6 -3.9 8.6 -8.6 l 3.9 -64.2 l -3.9 -177.5 c -0.4 -3 -2 -5.8 -4.5 -7.2 Z m -26.7 15.3 c -1.4 -0.8 -2.8 -1.4 -4.4 -1.4 s -3.1 0.6 -4.4 1.4 c -2.2 1.4 -3.6 3.9 -3.6 6.7 l -0.3 1.7 l -2.8 160.8 s 0 0.3 3.1 65.6 v 0.3 c 0 1.7 0.6 3.3 1.7 4.7 c 1.7 1.9 3.9 3.1 6.4 3.1 c 2.2 0 4.2 -1.1 5.6 -2.5 c 1.7 -1.4 2.5 -3.3 2.5 -5.6 l 0.3 -6.7 l 3.1 -58.6 l -3.3 -162.8 c -0.3 -2.8 -1.7 -5.3 -3.9 -6.7 Z m -111.4 22.5 c -3.1 0 -5.8 2.8 -5.8 6.1 l -4.4 140.6 l 4.4 67.2 c 0.3 3.3 2.8 5.8 5.8 5.8 c 3.3 0 5.8 -2.5 6.1 -5.8 l 5 -67.2 l -5 -140.6 c -0.2 -3.3 -2.7 -6.1 -6.1 -6.1 Z m 376.7 62.8 c -10.8 0 -21.1 2.2 -30.6 6.1 c -6.4 -70.8 -65.8 -126.4 -138.3 -126.4 c -17.8 0 -35 3.3 -50.3 9.4 c -6.1 2.2 -7.8 4.4 -7.8 9.2 v 249.7 c 0 5 3.9 8.6 8.6 9.2 h 218.3 c 43.3 0 78.6 -35 78.6 -78.3 c 0.1 -43.6 -35.2 -78.9 -78.5 -78.9 Z m -296.7 -60.3 c -4.2 0 -7.5 3.3 -7.8 7.8 l -3.3 136.7 l 3.3 65.6 c 0.3 4.2 3.6 7.5 7.8 7.5 c 4.2 0 7.5 -3.3 7.5 -7.5 l 3.9 -65.6 l -3.9 -136.7 c -0.3 -4.5 -3.3 -7.8 -7.5 -7.8 Z m -53.6 -7.8 c -3.3 0 -6.4 3.1 -6.4 6.7 l -3.9 145.3 l 3.9 66.9 c 0.3 3.6 3.1 6.4 6.4 6.4 c 3.6 0 6.4 -2.8 6.7 -6.4 l 4.4 -66.9 l -4.4 -145.3 c -0.3 -3.6 -3.1 -6.7 -6.7 -6.7 Z m 26.7 3.4 c -3.9 0 -6.9 3.1 -6.9 6.9 L 227 321.3 l 3.9 66.4 c 0.3 3.9 3.1 6.9 6.9 6.9 s 6.9 -3.1 6.9 -6.9 l 4.2 -66.4 l -4.2 -141.7 c 0 -3.9 -3 -6.9 -6.9 -6.9 Z"
/>
</svg>
<span class="link-text">Sound</span>
</a>
</li>
<li class="nav-item">
<a href="Text/text.html" class="nav-link menu-item">
<svg
xmlns="http://www.w3.org/2000/svg"
class="svg-inline--fa fa-font fa-w-14"
role="img"
aria-hidden="true"
viewBox="0 0 448 512"
focusable="false"
data-icon="font"
data-prefix="fas"
>
<path
fill="currentColor"
d="M 432 416 h -23.41 L 277.88 53.69 A 32 32 0 0 0 247.58 32 h -47.16 a 32 32 0 0 0 -30.3 21.69 L 39.41 416 H 16 a 16 16 0 0 0 -16 16 v 32 a 16 16 0 0 0 16 16 h 128 a 16 16 0 0 0 16 -16 v -32 a 16 16 0 0 0 -16 -16 h -19.58 l 23.3 -64 h 152.56 l 23.3 64 H 304 a 16 16 0 0 0 -16 16 v 32 a 16 16 0 0 0 16 16 h 128 a 16 16 0 0 0 16 -16 v -32 a 16 16 0 0 0 -16 -16 Z M 176.85 272 L 224 142.51 L 271.15 272 Z"
/>
</svg>
<span class="link-text">Text</span>
</a>
</li>
<li class="nav-item">
<a href="Resources/resources.html" class="nav-link menu-item">
<svg
xmlns="http://www.w3.org/2000/svg"
class="svg-inline--fa fa-book fa-w-14"
role="img"
aria-hidden="true"
viewBox="0 0 448 512"
focusable="false"
data-icon="book"
data-prefix="fas"
>
<path
fill="currentColor"
d="M 448 360 V 24 c 0 -13.3 -10.7 -24 -24 -24 H 96 C 43 0 0 43 0 96 v 320 c 0 53 43 96 96 96 h 328 c 13.3 0 24 -10.7 24 -24 v -16 c 0 -7.5 -3.5 -14.3 -8.9 -18.7 c -4.2 -15.4 -4.2 -59.3 0 -74.7 c 5.4 -4.3 8.9 -11.1 8.9 -18.6 Z M 128 134 c 0 -3.3 2.7 -6 6 -6 h 212 c 3.3 0 6 2.7 6 6 v 20 c 0 3.3 -2.7 6 -6 6 H 134 c -3.3 0 -6 -2.7 -6 -6 v -20 Z m 0 64 c 0 -3.3 2.7 -6 6 -6 h 212 c 3.3 0 6 2.7 6 6 v 20 c 0 3.3 -2.7 6 -6 6 H 134 c -3.3 0 -6 -2.7 -6 -6 v -20 Z m 253.4 250 H 96 c -17.7 0 -32 -14.3 -32 -32 c 0 -17.6 14.4 -32 32 -32 h 285.4 c -1.9 17.1 -1.9 46.9 0 64 Z"
/>
</svg>
<span class="link-text">Resources</span>
</a>
</li>
<li class="nav-item">
<a
href="https://github.com/jinsel/Fun-with-Machine-Learning"
class="nav-link menu-item"
target="_blank"
>
<svg
xmlns="http://www.w3.org/2000/svg"
class="svg-inline--fa fa-github fa-w-16"
role="img"
aria-hidden="true"
viewBox="0 0 496 512"
focusable="false"
data-icon="github"
data-prefix="fab"
>
<path
fill="currentColor"
d="M 165.9 397.4 c 0 2 -2.3 3.6 -5.2 3.6 c -3.3 0.3 -5.6 -1.3 -5.6 -3.6 c 0 -2 2.3 -3.6 5.2 -3.6 c 3 -0.3 5.6 1.3 5.6 3.6 Z m -31.1 -4.5 c -0.7 2 1.3 4.3 4.3 4.9 c 2.6 1 5.6 0 6.2 -2 s -1.3 -4.3 -4.3 -5.2 c -2.6 -0.7 -5.5 0.3 -6.2 2.3 Z m 44.2 -1.7 c -2.9 0.7 -4.9 2.6 -4.6 4.9 c 0.3 2 2.9 3.3 5.9 2.6 c 2.9 -0.7 4.9 -2.6 4.6 -4.6 c -0.3 -1.9 -3 -3.2 -5.9 -2.9 Z M 244.8 8 C 106.1 8 0 113.3 0 252 c 0 110.9 69.8 205.8 169.5 239.2 c 12.8 2.3 17.3 -5.6 17.3 -12.1 c 0 -6.2 -0.3 -40.4 -0.3 -61.4 c 0 0 -70 15 -84.7 -29.8 c 0 0 -11.4 -29.1 -27.8 -36.6 c 0 0 -22.9 -15.7 1.6 -15.4 c 0 0 24.9 2 38.6 25.8 c 21.9 38.6 58.6 27.5 72.9 20.9 c 2.3 -16 8.8 -27.1 16 -33.7 c -55.9 -6.2 -112.3 -14.3 -112.3 -110.5 c 0 -27.5 7.6 -41.3 23.6 -58.9 c -2.6 -6.5 -11.1 -33.3 2.6 -67.9 c 20.9 -6.5 69 27 69 27 c 20 -5.6 41.5 -8.5 62.8 -8.5 s 42.8 2.9 62.8 8.5 c 0 0 48.1 -33.6 69 -27 c 13.7 34.7 5.2 61.4 2.6 67.9 c 16 17.7 25.8 31.5 25.8 58.9 c 0 96.5 -58.9 104.2 -114.8 110.5 c 9.2 7.9 17 22.9 17 46.4 c 0 33.7 -0.3 75.4 -0.3 83.6 c 0 6.5 4.6 14.4 17.3 12.1 C 428.2 457.8 496 362.9 496 252 C 496 113.3 383.5 8 244.8 8 Z M 97.2 352.9 c -1.3 1 -1 3.3 0.7 5.2 c 1.6 1.6 3.9 2.3 5.2 1 c 1.3 -1 1 -3.3 -0.7 -5.2 c -1.6 -1.6 -3.9 -2.3 -5.2 -1 Z m -10.8 -8.1 c -0.7 1.3 0.3 2.9 2.3 3.9 c 1.6 1 3.6 0.7 4.3 -0.7 c 0.7 -1.3 -0.3 -2.9 -2.3 -3.9 c -2 -0.6 -3.6 -0.3 -4.3 0.7 Z m 32.4 35.6 c -1.6 1.3 -1 4.3 1.3 6.2 c 2.3 2.3 5.2 2.6 6.5 1 c 1.3 -1.3 0.7 -4.3 -1.3 -6.2 c -2.2 -2.3 -5.2 -2.6 -6.5 -1 Z m -11.4 -14.7 c -1.6 1 -1.6 3.6 0 5.9 c 1.6 2.3 4.3 3.3 5.6 2.3 c 1.6 -1.3 1.6 -3.9 0 -6.2 c -1.4 -2.3 -4 -3.3 -5.6 -2 Z"
/>
</svg>
<span class="link-text">Github</span>
</a>
</li>
</ul>
</nav>
<h1 class="fancy">Fun with Machine Learning</h1>
<div class="contain">
<p>
The world is filled with data. Lots and lots of data. Everything from
pictures, music, words, spreadsheets, videos and more. It doesn’t look
like it’s going to to slow down anytime soon. Machine learning brings
the promise of deriving meaning from all of that data. Machine Learning
is all around us. What is it exactly?
</p>
<p>
Machine learning is an application of artificial intelligence (AI) that
provides systems the ability to automatically learn and improve from
experience without being explicitly programmed. Machine learning focuses
on the development of computer programs that can access data and use it
learn for themselves.
</p>
<div class="btn"><a href="#">Read More</a></div>
<div class="tools-title">
<h5>Tools we use</h5>
</div>
<div class="icon-holder">
<a href="https://www.tensorflow.org/js/" target="_blank"
><svg
width="52"
height="53"
viewBox="0 0 42 43"
fill="none"
xmlns="http://www.w3.org/2000/svg"
xmlns:xlink="http://www.w3.org/1999/xlink"
>
<title>TensorFlow</title>
<rect width="32" height="33" fill="url(#pattern0)"></rect>
<defs>
<pattern
id="pattern0"
patternContentUnits="objectBoundingBox"
width="1"
height="1"
>
<use
xlink:href="#image0"
transform="translate(-0.011158) scale(0.0012763)"
></use>
</pattern>
<image
id="image0"
width="1001"
height="1008"
xlink:href="data:image/png;base64,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"
></image>
</defs>
</svg>
</a>
<a href="https://p5js.org/" target="_blank" target="_blank"
><!---->
<svg
width="68"
height="37"
viewBox="0 0 68 47"
fill="none"
xmlns="http://www.w3.org/2000/svg"
xmlns:xlink="http://www.w3.org/1999/xlink"
>
<title>p5.js</title>
<rect width="78" height="37" fill="url(#pattern2)"></rect>
<defs>
<pattern
id="pattern2"
patternContentUnits="objectBoundingBox"
width="1"
height="1"
>
<use
xlink:href="#image2"
transform="translate(0 -0.00964706) scale(0.004 0.00894118)"
></use>
</pattern>
<image
id="image2"
width="250"
height="114"
xlink:href="data:image/png;base64,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"
></image>
</defs></svg
><!----></a
>
<a href="https://ml5js.org/" target="_blank" target="_blank"
><!---->
<svg
width="65"
height="37"
viewBox="0 0 45 17"
fill="none"
xmlns="http://www.w3.org/2000/svg"
xmlns:xlink="http://www.w3.org/1999/xlink"
>
<title>ML5</title>
<rect width="45" height="17" fill="url(#pattern1)"></rect>
<defs>
<pattern
id="pattern1"
patternContentUnits="objectBoundingBox"
width="1"
height="1"
>
<use
xlink:href="#image1"
transform="translate(0 -0.00427743) scale(0.000600962 0.00159078)"
></use>
</pattern>
<image
id="image1"
width="1664"
height="634"
xlink:href="data:image/png;base64,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"
></image>
</defs></svg
><!----></a
>
</div>
</div>
<div id="stars"></div>
<div id="stars2"></div>
<div id="stars3"></div>
<div class="wrapper">
<div class="container">
<div class="card">
<div class="face face1">
<div class="content">
<h3><a href="computer_vision/image.html">Computer Vision</a></h3>
</div>
</div>
<div class="face face2">
<div class="content">
<p>
Image which is the primary key to the Computer Vision, we get
lots of lots images in seconds. This days the world is full of
images data, and over here I wanna show some basic of Computer
Vision task..
</p>
<a href="https://cs231n.github.io/classification/">Read More</a>
</div>
</div>
</div>
<div class="card">
<div class="face face1">
<div class="content">
<h3><a href="Sound/sounds.html">Sound</a></h3>
</div>
</div>
<div class="face face2">
<div class="content">
<p>
Sound is the one of the source of Data. The voice recognition
task and the pitch detection are the some of the Machine
Learning task on Sound Data..
</p>
<a href="#">Read More</a>
</div>
</div>
</div>
<div class="card">
<div class="face face1">
<div class="content">
<h3><a href="Text/text.html">Text</a></h3>
</div>
</div>
<div class="face face2">
<div class="content">
<p>
Text one of the most important for human language. This day we
are using text data for script generating and used in Natural
Language Processing(NLP). Google Assistant and Siri are the
example of this field.
</p>
<a href="#">Read More</a>
</div>
</div>
</div>
</div>
</div>
<div class="footer">
<div class="container"></div>
<div>
<a
class="social-icon-link w-inline-block"
href="https://www.facebook.com/yeshi.dorjee.921"
>
<img src="https://img.icons8.com/color/48/000000/facebook.png"
/></a>
<a
class="social-icon-link w-inline-block"
href="https://www.instagram.com/iam_jinsel/"
>
<img src="https://img.icons8.com/fluent/48/000000/instagram-new.png"
/></a>
<a
class="social-icon-link w-inline-block"
href="https://twitter.com/JinselC"
>
<img src="https://img.icons8.com/color/48/000000/twitter-squared.png"
/></a>
</div>
<div class="footer-text">© Copyright 2020 @jinsel</div>
</div>
<script src="https://cdn.jsdelivr.net/npm/jquery@3.4.1/dist/jquery.min.js"></script>
<script src="https://cdn.jsdelivr.net/gh/fancyapps/fancybox@3.5.7/dist/jquery.fancybox.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/slick-carousel@1.8.1/slick/slick.min.js"></script>
<script src="assets/js/app.js"></script>
</body>
</html>