r/deeplearning
Deep Learning
en
N/A
Resources for understanding and implementing "deep learning" (learning data representations through artificial neural networks).
147,314
November 27, 2011
public
all_ads
Total Submissions
27,196
Total Comments
69,098
Earliest Submission
August 24, 2014
Earliest Comment
February 26, 2015
Rank↕ | Word↕ | Occurrences in Subreddit | Total Occurrences | Rate in Subreddit (per 1M words) | Rate in Reddit (per 1M words) | Ratio (Sub Rate / Reddit Rate) |
|---|---|---|---|---|---|---|
| #1 | 447 | 15,011 | 307.1 | 0.1 | 2453.19 | |
| #2 | 528 | 21,387 | 362.7 | 0.2 | 2033.84 | |
| #3 | 1,507 | 67,787 | 1035.2 | 0.6 | 1831.47 | |
| #4 | 332 | 16,233 | 228.1 | 0.1 | 1684.89 | |
| #5 | 345 | 21,973 | 237.0 | 0.2 | 1293.49 | |
| #6 | 882 | 59,187 | 605.9 | 0.5 | 1227.65 | |
| #7 | 701 | 50,279 | 481.6 | 0.4 | 1148.59 | |
| #8 | 2,174 | 169,618 | 1493.4 | 1.4 | 1055.90 | |
| #9 | 505 | 44,581 | 346.9 | 0.4 | 933.20 | |
| #10 | 159 | 16,329 | 109.2 | 0.1 | 802.18 | |
| #11 | 474 | 50,842 | 325.6 | 0.4 | 768.05 | |
| #12 | 348 | 38,977 | 239.1 | 0.3 | 735.54 | |
| #13 | 135 | 15,835 | 92.7 | 0.1 | 702.34 | |
| #14 | 542 | 63,727 | 372.3 | 0.5 | 700.66 | |
| #15 | 406 | 50,126 | 278.9 | 0.4 | 667.26 | |
| #16 | 144 | 18,543 | 98.9 | 0.2 | 639.76 | |
| #17 | 451 | 64,483 | 309.8 | 0.5 | 576.19 | |
| #18 | 103 | 14,977 | 70.8 | 0.1 | 566.56 | |
| #19 | 93 | 15,542 | 63.9 | 0.1 | 492.96 | |
| #20 | 561 | 93,860 | 385.4 | 0.8 | 492.40 | |
| #21 | 1,463 | 262,164 | 1005.0 | 2.2 | 459.73 | |
| #22 | 580 | 111,052 | 398.4 | 0.9 | 430.26 | |
| #23 | 206 | 39,781 | 141.5 | 0.3 | 426.60 | |
| #24 | 121 | 23,964 | 83.1 | 0.2 | 415.97 | |
| #25 | 133 | 27,050 | 91.4 | 0.2 | 405.06 | |
| #26 | 82 | 16,691 | 56.3 | 0.1 | 404.73 | |
| #27 | 487 | 100,211 | 334.5 | 0.8 | 400.36 | |
| #28 | 91 | 19,078 | 62.5 | 0.2 | 392.95 | |
| #29 | 169 | 35,668 | 116.1 | 0.3 | 390.34 | |
| #30 | 112 | 23,929 | 76.9 | 0.2 | 385.59 | |
| #31 | 72 | 16,427 | 49.5 | 0.1 | 361.08 | |
| #32 | 84 | 19,812 | 57.7 | 0.2 | 349.29 | |
| #33 | 96 | 22,645 | 65.9 | 0.2 | 349.25 | |
| #34 | 258 | 60,916 | 177.2 | 0.5 | 348.92 | |
| #35 | 327 | 79,243 | 224.6 | 0.7 | 339.95 | |
| #36 | 148 | 37,256 | 101.7 | 0.3 | 327.26 | |
| #37 | 1,106 | 279,369 | 759.8 | 2.3 | 326.14 | |
| #38 | 541 | 142,179 | 371.6 | 1.2 | 313.47 | |
| #39 | 287 | 76,996 | 197.2 | 0.6 | 307.08 | |
| #40 | 787 | 214,811 | 540.6 | 1.8 | 301.82 | |
| #41 | 265 | 75,428 | 182.0 | 0.6 | 289.43 | |
| #42 | 84 | 25,381 | 57.7 | 0.2 | 272.65 | |
| #43 | 74 | 22,692 | 50.8 | 0.2 | 268.65 | |
| #44 | 81 | 26,449 | 55.6 | 0.2 | 252.30 | |
| #45 | 726 | 238,209 | 498.7 | 2.0 | 251.08 | |
| #46 | 62 | 20,407 | 42.6 | 0.2 | 250.29 | |
| #47 | 97 | 31,950 | 66.6 | 0.3 | 250.11 | |
| #48 | 80 | 27,234 | 55.0 | 0.2 | 242.00 | |
| #49 | 310 | 105,716 | 213.0 | 0.9 | 241.58 | |
| #50 | 289 | 103,719 | 198.5 | 0.9 | 229.55 |