Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
DeepLearningBook 9.3-9.4
Search
mtjuney
January 16, 2018
Technology
53
0
Share
DeepLearningBook 9.3-9.4
9.3 Pooling
9.4 Convolution and Pooling as an Infinitely Strong Prior
mtjuney
January 16, 2018
More Decks by mtjuney
See All by mtjuney
DeepLearningBook 9.5-9.7
mtjuney
0
48
Other Decks in Technology
See All in Technology
Zero Data Loss Autonomous Recovery Service サービス概要
oracle4engineer
PRO
5
14k
[最強DB講義]推薦システム | 基礎編
recsyslab
PRO
1
140
EBS暗号化に失敗してEC2が動かなくなった話
hamaguchimmm
1
140
3つのボトルネックを解消し、リリースエンジニアリングを再定義した話
nealle
0
520
Azure Static Web Apps の自動ビルドがタイムアウトしやすくなった状況に対応した件/global-azure2026
thara0402
0
340
Rapid Start: Faster Internet Connections, with Ruby's Help
kazuho
2
130
昔はシンプルだった_AmazonS3
kawaji_scratch
0
300
みんなで作るAWS Tips 100連発 (FinOps編)
schwrzktz
1
260
最近の技術系の話題で気になったもの色々(IoT系以外も) / IoTLT 花見予定会(たぶんBBQ) @都立潮風公園バーベキュー広場
you
PRO
1
210
EarthCopilotに学ぶマルチエージェントオーケストレーション
nakasho
0
240
🀄️ on swiftc
giginet
PRO
0
390
CDK Insightsで見る、AIによるCDKコード静的解析(+AI解析)
k_adachi_01
2
170
Featured
See All Featured
Leveraging Curiosity to Care for An Aging Population
cassininazir
1
220
SEO for Brand Visibility & Recognition
aleyda
0
4.5k
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
55
3.3k
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
32
2.8k
16th Malabo Montpellier Forum Presentation
akademiya2063
PRO
0
97
Hiding What from Whom? A Critical Review of the History of Programming languages for Music
tomoyanonymous
2
730
Reality Check: Gamification 10 Years Later
codingconduct
0
2.1k
RailsConf 2023
tenderlove
30
1.4k
Applied NLP in the Age of Generative AI
inesmontani
PRO
4
2.2k
StorybookのUI Testing Handbookを読んだ
zakiyama
31
6.7k
Digital Ethics as a Driver of Design Innovation
axbom
PRO
1
260
Exploring anti-patterns in Rails
aemeredith
3
320
Transcript
Deep Learning Book 9.3-9.4 mtjuney
• ը૾ೝࣝʹ͓͍ͯ ը૾ͷେ͖͖͕͞มΘͬͨͱ͖Ͱಉ͡ग़ྗ͕ग़ͯཉ͍͠ • ࣮ࡍมΘͬͯ͠·͏ • ͦ͜ͰPooling 9.3 Pooling Apple
• Pooling • ग़ྗΛԿΒ͔ͷ౷ܭྔͰஔ͖͑Δ • ౷ܭྔ: ࠷େɺฏۉɺL2ϊϧϜ etc 9.3 Pooling
{ { { ࠷େ ࠷େ ࠷େ ྫ: ࠷େPooling
9.3 Pooling • ೖྗͷখ͞ͳҠಈʹରͯ͠ෆมʹͳΔ • খ͞ͳεέʔϦϯάɺճసɺҠಈʹରͯ͠ؤ݈ • ग़ྗͷϢχοτ͕ݮ͞ΕΔ • ܭࢉྔݮ
{ { { • ՄมͷೖྗʹରԠͰ͖Δ • ՄมΛݻఆʹམͱ͠ࠐΉ 9.3 Pooling ࠷େ
࠷େ ࠷େ
9.3 Pooling • ՄมͷೖྗʹରԠͰ͖Δ • Global Average Pooling[Lin 2013] •
νϟωϧຖʹฏۉΛग़͢ • શ݁߹ͷΘΓʹΘΕͨΓ͢Δ
• Maxout Network [Goodfellow 2013] • νϟωϧ୯ҐͰͷPooling • ҟͳΔಛʹԠ͢ΔϑΟϧλͷ͏ͪɺ ͲΕ͔ҰͭͰԠ͢Εग़ྗԠ͢Δ
9.3 Pooling
• Infinitely Strong Priorʢແݶʹڧ͍ࣄલʣ • ύϥϝʔλ͕͍͔ͭ͘ͷʹͳΔ֬Λ0ʹͯ͠ શʹ༻ېࢭͱ͢Δ • ΈࠐΈωοτϫʔΫશ݁߹ωοτϫʔΫʹ ແݶʹڧ͍ࣄલΛ༩͑ͨͷͱྨࣅ
• ۙҎ֎ͷॏΈ͕0 • ॏΈΛڞ༗ • Poolingಉ༷ • ೖྗ͕খ͞ͳҠಈʹରͯ͠ෆม 9.4 Convolution and Pooling as an Infinitely Strong Prior
• ͜ΕΒͷࣄલԾఆ͕ଥͰ͋Ε༗ޮ • ଥͰͳ͍߹ɺUnderfittingͷݪҼͱͳΔ • Pooling • ͋Δಛ͕ग़Δݫີͳॴ͕Γ͍ͨ߹ٯޮՌ • GANͷֶशͳͲͷಛఆͷλεΫʹٯޮՌ
• ΈࠐΈ • ΕͨॴͷใΛ͍͍ͨ߹ɺٯޮՌ 9.4 Convolution and Pooling as an Infinitely Strong Prior
• ΈࠐΈϞσϧΈࠐΈϞσϧͷΈͱൺֱ͞ΕΔ͖ • ΈࠐΈϞσϧ • ઃܭऀ͕ۭؒతࣝΛΈࠐΜͰ͍Δ • ΈࠐΈͰͳ͍Ϟσϧ • ۭؒతࣝΛֶशͰ֫ಘ͢Δඞཁ͕͋Δ
• ͜ΕΒΛಉ͡ϕϯνϚʔΫͰൺֱ͢Δ͖Ͱͳ͍ 9.4 Convolution and Pooling as an Infinitely Strong Prior