From Keyboards to Neural Networks 从键盘到神经网络
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1 From Keyboards to Neural Networks 从键盘到神经网络 Qcon Beijing April 21, 2018 Biye Li Team Manager, Data Technologies Automation Xiangqian Yu Team Lead, Derivatives Data
2 What is Bloomberg? The Bloomberg Terminal delivers a diverse array of information on a single platform to facilitate financial decisionmaking. 4
3 What is Data Technologies Automation?
4 Challenges Scale of Financial Information Market Types Speed To Market Accuracy AAPL FB 700 GOOG BIDU?? TXT?? Companies Problematic Files/Input Modified from May be re-distributed in accordance with the terms of the CC-SA 4.0 license
5 Challenges Accuracy Really Matters Federal Reserve will maintain rate at 1.25% to 1.5%
6 Challenges Accuracy Really Matters Federal Reserve will maintain rate at 1.25% to 1.5% vs. Federal Reserve will raise rate to 2%
![Solution Evolution Over Time patt[ern] matc[hin]g 1990s 2000s 2010 2016 2017 Data Volume Modified from](/docs-images/92/110560471/images/7-1.jpg "https://commons.wikimedia.")
7 Solution Evolution Over Time patt[ern] matc[hin]g 1990s 2000s Data Volume Modified from May be re-distributed in accordance with the terms of the CC-SA 4.0 license
8 Back in 2016 Table Extraction
9 Tables Look Different
10 Tables Look Different
11 Tables Look Different
12 Tables Look Different
13 Tables Look Different
14 Tables Look Different
15 Table Detection How Do We Do It
16 Table Detection How Do We Do It
17 Table Detection How Do We Do It
18 Computer Vision Tasks Modified from May be re-distributed in accordance with the terms of the CC-SA 4.0 license
19 Computer Vision Tasks Modified from May be re-distributed in accordance with the terms of the CC-SA 4.0 license
20 Computer Vision Tasks Modified from May be re-distributed in accordance with the terms of the CC-SA 4.0 license
21 Table Detection Is Object Detection Deep learning has yielded rapid advancements in computer vision
22 CNN Modified from May be re-distributed in accordance with the terms of the CC-SA 4.0 license
23 ResNet-152 Building Block Repeat this 50 times
24 Evolution of Depth AlexNet 8 Layers ILSVRC 2012 VGG 19 Layers ILSVRC 2014 ResNet 152 Layers ILSVRC 2015
25 Faster RCNN RCNN region proposals classification bounding-box regression Fast RCNN region proposals classification bounding-box regression Faster RCNN region proposals classification bounding-box regression
26 Faster RCNN Region Proposal Network Conv Layers Feature Maps Classifier Faster RCNN
27 Faster RCNN
28 Visualizing Neural Network
29 Object Detection Good Enough? Modified from May be re-distributed in accordance with the terms of the CC-SA 4.0 license
30 Object Detection Good Enough? Modified from May be re-distributed in accordance with the terms of the CC-SA 4.0 license
31 Object Detection Good Enough?
32 Object Detection Good Enough?
33 Object Detection Good Enough?
34 Object Detection Good Enough?
35 Object Detection Good Enough? Region Proposal Network Conv Layers Feature Maps Classifier
36 Intersection Over Union
37 Intersection Over Union
38 Intersection Over Union
39 Intersection Over Union
40 Intersection Over Union
41 Fuzzy Boundaries
42 Fuzzy Boundaries
43 Fuzzy IOU
44 Fuzzy IOU
45 Fuzzy IOU
46 Fuzzy IOU
47 Fuzzy IOU
48 Fuzzy IOU
49 Fuzzy IOU
50 Training curves Strict table boundary accuracy Iterations
51 Performance Better than Human Precision Recall Machine Human Machine Human Table Boundary 95% 94% 95% 95% Perfect Table 87% 82% 94% 94% 48,607 pages evaluated
52 Ecosystem K80 Modified from and ogo.png May be re-distributed in accordance with the terms of the CC-SA 4.0 license
53 Back to 2018 Heterogeneous Hardware V100, K80, Xeon, Modified from and ner_engine) _logo.png May be re-distributed in accordance with the terms of the CC-SA 4.0 license
54 Back to 2018
55 Back to 2018
56 Final Notes
57 Final Notes Deep Learning can achieve superhuman accuracy for the right problems Automation is the only way to keep up with the exponential growth of data
58 QUESTIONS?
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