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
少ないデータで画像分類の性能を上げるには
Search
masa-ita
February 21, 2019
Technology
0
370
少ないデータで画像分類の性能を上げるには
CNNを使った画像分類において少ないデータで過学習を抑制し性能を上げる方法を紹介
masa-ita
February 21, 2019
Tweet
Share
More Decks by masa-ita
See All by masa-ita
Ollamaを使ったLocal Language Model活用法
itagakim
1
120
Run Instant NeRF on Docker
itagakim
1
2.2k
3D Clustering and Metric Learning
itagakim
0
320
Cloud TPUの使い方〜BigBirdの日本語学習済みモデルを作る〜
itagakim
0
660
多言語学習済みモデルmT5とは?
itagakim
1
660
AWSのGPUを安く使ってTensorFlowモデルを訓練する方法
itagakim
0
360
最近の自然言語処理モデルの動向
itagakim
1
560
ディープラーニングで芸術はできるか?〜生成系ネットワークの進展〜
itagakim
0
330
AWSとTerraform初心者がやってみたこと
itagakim
1
460
Other Decks in Technology
See All in Technology
低レイヤを知りたいPHPerのためのCコンパイラ作成入門 完全版 / Building a C Compiler for PHPers Who Want to Dive into Low-Level Programming - Expanded
tomzoh
4
3.2k
ハノーバーメッセ2025座談会.pdf
iotcomjpadmin
0
160
20250623 Findy Lunch LT Brown
3150
0
860
地図も、未来も、オープンに。 〜OSGeo.JPとFOSS4Gのご紹介〜
wata909
0
110
Snowflake Summit 2025全体振り返り / Snowflake Summit 2025 Overall Review
mtpooh
2
390
PostgreSQL 18 cancel request key長の変更とRailsへの関連
yahonda
0
120
Microsoft Build 2025 技術/製品動向 for Microsoft Startup Tech Community
torumakabe
2
260
LinkX_GitHubを基点にした_AI時代のプロジェクトマネジメント.pdf
iotcomjpadmin
0
170
_第3回__AIxIoTビジネス共創ラボ紹介資料_20250617.pdf
iotcomjpadmin
0
150
Welcome to the LLM Club
koic
0
170
フィンテック養成勉強会#54
finengine
0
180
AIエージェント最前線! Amazon Bedrock、Amazon Q、そしてMCPを使いこなそう
minorun365
PRO
14
5k
Featured
See All Featured
Rails Girls Zürich Keynote
gr2m
94
14k
How To Stay Up To Date on Web Technology
chriscoyier
790
250k
What's in a price? How to price your products and services
michaelherold
246
12k
Building Flexible Design Systems
yeseniaperezcruz
328
39k
Balancing Empowerment & Direction
lara
1
370
The Illustrated Children's Guide to Kubernetes
chrisshort
48
50k
A Modern Web Designer's Workflow
chriscoyier
694
190k
Agile that works and the tools we love
rasmusluckow
329
21k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
181
53k
Why Our Code Smells
bkeepers
PRO
337
57k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
7
700
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.3k
Transcript
" "
PYTHON'&IN# RESTART#5 2019/2/23 !$%
GOOGLE COLAB
60? • 2C0?%"' A@/"!3>.6 - "! ,8 •
%"' A@/"! =B5:< D. :< • %"'#&$!49A@/"! 7 )(*+ • cf. A@0?1;
/% -* " ) " ' ,
#+ -* &$# &$.# (+ !
)#/ & • ( • .- •
4" !2 • %0" + , %*", L1/L2%0" • 13$ ,' https://towardsdatascience.com/deep-learning-3-more-on-cnns-handling-overfitting-2bd5d99abe5d
• 6"(! + 1-37. $) • Keras
Dropout:% *4 • 2/, 9508 &'# https://keras.io/layers/core/#dropout
"BATCH NORMALIZATION • & #"% ' • Keras keras.layers.BatchNormalization()
• Google! $
L1/L2 /7* • 64(0"!$ +, #1 "!"8-&) •
2/7*kernel_regularizer • 3.*/7*activity_regularizer • Keras'5 /7*(0 • L1/7*keras.regularizers.l1(p) • L2/7*keras.regularizers.l2(p • 9%Elastic Netkeras.regularizers.l1_l2(l1=p1, l2=p2) https://keras.io/regularizers/
GOOGLE COLAB
@> • 15 04 #%' • 9B3* $' • KerasImageDataGenerator2,)!CA-&<8
• 0/F6%. width_shift_range, height_shift_range • D(+=brightness_rangeE%:?shear_range • zoom_range "channel_shift_range • 0/F6%.7;horizontal_flip, vertical_flip https://keras.io/preprocessing/image/#imagedatagenerator-class
GOOGLE COLAB
2?5%!$- • #!$E@0 )#," *& +(6!$ • /=+',9 :B;A ImageNethttp://www.image-
net.org/ ILSVRC2012."$:B1203D1000+ E@0 7 • KerasXceptionVGG16VGG19ResNet50InceptionV3 InceptionResNetV2MobileNetDenseNetNASNetMobileNetV2 C >41<8 https://keras.io/applications/
8H; %:6-4 • CLO' • 8H; %(1P>KA,3CLGO' "$9?
• '3 CLGB %,350* 8H) • DF8H • =I/ 8H; %2 %<> MJ ) • !&#& • DF8H.8H; %'3@1+50* N7E
LOQ+)8; • !A%.( ON29 +)6B • IJ@>229R51 G
+): ?C =D • HIJ@29R5 1% 7E@=D : ?C99% • 4<3 +)KF $,'0-/0�*'0 -/0&OQ+) 4<M • LOQ+)>P"