- Link to Paper
- Spatial pooling layers are building blocks for Convolutional Neural Networks (CNNs).
- Input to pooling operation is a Nin x Nin matrix and output is a smaller matrix Nout x Nout.
- Pooling operation divides Nin x Nin square into N2out pooling regions Pi, j.
- Pi, j ⊂ {1, 2, . . . , Nin} ∀ (i, j) ∈ {1, . . . , Nout}2
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from scrapy.spider import Spider | |
from scrapy.contrib.spiders import CrawlSpider, Rule | |
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor | |
from scrapy.selector import Selector | |
from scrapy.item import Item, Field | |
import urllib | |
class Question(Item): | |
tags = Field() | |
answers = Field() |
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"""Information Retrieval metrics | |
Useful Resources: | |
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt | |
http://www.nii.ac.jp/TechReports/05-014E.pdf | |
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf | |
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf | |
Learning to Rank for Information Retrieval (Tie-Yan Liu) | |
""" | |
import numpy as np |