Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Deep Learning with Python Chap.1

KenjiH
November 10, 2018
Technology
0
34

Deep Learning with Python Chap.1

KenjiH

November 10, 2018
Tweet

More Decks by KenjiH

See All by KenjiH
Quantum Computation and Quantum Information (Chapter 5.4)
kenjih
0
57
Quantum Computation and Quantum Information (Chapter 5.2)
kenjih
0
18
Quantum Computation and Quantum Information (Chapter 3.1)
kenjih
0
82
Quantum Computation and Quantum Information (Chapter 1.1 - 1.3)
kenjih
0
77
Deep Learning with Python Chap.2
kenjih
0
48
Introduction to LSTM
kenjih
0
110
Computer Vision Applications of MRF , CRF and Other Grid Models
kenjih
0
230
論文紹介：Probabilistic Matrix Factorization
kenjih
0
710
AAAI・WSDM 2017論文読み会
kenjih
0
1.3k

Other Decks in Technology

See All in Technology
サイバー攻撃を想定したセキュリティガイドライン 策定とASM及びCNAPPの活用方法
syoshie
3
1.3k
終了の危機にあった15年続くWebサービスを全力で存続させる - phpcon2024
yositosi
19
18k
Google Cloud で始める Cloud Run 〜AWSとの比較と実例デモで解説〜
risatube
PRO
0
110
Fanstaの１年を大解剖！ 一人SREはどこまでできるのか！？
syossan27
2
170
私なりのAIのご紹介 [2024年版]
qt_luigi
1
120
podman_update_2024-12
orimanabu
1
280
10分で学ぶKubernetesコンテナセキュリティ/10min-k8s-container-sec
mochizuki875
3
360
宇宙ベンチャーにおける最近の情シス取り組みについて
axelmizu
0
110
UI State設計とテスト方針
rmakiyama
2
650
NW-JAWS #14 re:Invent 2024（予選落ち含）で 発表された推しアップデートについて
nagisa53
0
270
祝！Iceberg祭開幕！re:Invent 2024データレイク関連アップデート10分総ざらい
kniino
3
320
社内イベント管理システムを1週間でAKSからACAに移行した話し
shingo_kawahara
0
190

Featured

See All Featured
A Philosophy of Restraint
colly
203
16k
Automating Front-end Workflow
addyosmani
1366
200k
The World Runs on Bad Software
bkeepers
PRO
65
11k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
507
140k
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
95
17k
What’s in a name? Adding method to the madness
productmarketing
PRO
22
3.2k
[RailsConf 2023] Rails as a piece of cake
palkan
53
5k
How to Think Like a Performance Engineer
csswizardry
22
1.2k
A Tale of Four Properties
chriscoyier
157
23k
VelocityConf: Rendering Performance Case Studies
addyosmani
326
24k
Fireside Chat
paigeccino
34
3.1k
Being A Developer After 40
akosma
87
590k

Transcript

  1. $IBQUFS 8IBUJT%FFQ-FBSOJOH ΏΔ;Θษڧձ 

  2. "* .- BOEEFFQMFBSOJOH

  3. BSUJpDJBMJOUFMMJHFODF  CPSOJOUIFT  UIFF⒎PSUUPBVUPNBUFJOUFMMFDUVBMUBTLTOPSNBMMZQFSGPSNFECZ IVNBOT  FODPNQBTTFT  TZNCPMJD"*

     IVNBONBEFFYQMJDJUSVMFT  FYQFSUTZTUFNCPPNJOT  TVJUBCMFUPTPMWFXFMMEFpOFEMPHJDBMQSPCMFNT  NBDIJOFMFBSOJOH  BQQMJDBCMFUPGV[[ZQSPCMFNT

  4. NBDIJOFMFBSOJOH  USBJOFESBUIFSUIBOFYQMJDJUMZQSPHSBNNFE  TUBSUFEUPqPVSJTIJOUIFT  XFOFFEJOQVU FYQFDUFEPVUQVUBOEGFFECBDLNFBTVSFUPEP.-  pOEBQQSPQSJBUFSFQSFTFOUBUJPOT

     IZQPUIFTJTTQBDF QSFEFpOFETFUPGPQFSBUJPOT

  5. NBDIJOFMFBSOJOH  JOQVUEBUBQPJOUT  FYQFDUFEDPMPSPGQPJOU  GFFECBDLNFBTVSFBDDVSBDZ  IZQPUIFTJTTQBDFDPPSEJOBUFDIBOHF YCMBDL

    PUIFSXJTFXIJUF

  6. EFFQMFBSOJOH  MFBSOTVDDFTTJWFMBZFSTPGJODSFBTJOHMZNFBOJOHGVMSFQSFTFOUBUJPOT VTJOHOFVSBMOFUXPSL  NPEFSO%-TIBWFIVOESFETPGMBZFST  PUIFS.-BQQSPBDIFTPOMZMFBSOTPOFPSUXPMBZFSPGSFQSFTFOUBUJPO TIBMMPXMFBSOJOH 

     OPUFUIBUEFFQMFBSOJOHNPEFMTBSF/05NPEFMTPGUIFCSBJO JODSFBTJOHMZ JOGPSNBUJWFBCPVU UIFpOBMSFTVMU

  7. EFFQMFBSOJOH TUFQNPEFMQBSBNFUFS XFJHIU JTDIPTFOBUSBOEPN

  8. EFFQMFBSOJOH TUFQDBMDVMBUFUIFPVUQVU GFFEGPSXBSE

  9. EFFQMFBSOJOH TUFQDBMDVMBUFUIFMPTTGVODUJPO

  10. EFFQMFBSOJOH TUFQGFFECBDLMPTTUPVQEBUFQBSBNFUFST SFQFBUBTV⒏DJFOUOVNCFSPG UJNFTTUFQ

  11. EFFQMFBSOJOH  %-IBTBDIJFWFEUIFGPMMPXJOHCSFBLUISPVHIT  4VQFSIVNBO  (PQMBZJOH  /FBSIVNBOMFWFM 

    JNBHFDMBTTJpDBUJPO  TQFFDISFDPHOJUJPO  IBOEXSJUJOHUSBOTDSJQUJPO  BVUPOPNPVTESJWJOH  *NQSPWFE  NBDIJOFUSBOTMBUJPO  UFYUUPTQFFDIDPOWFSTJPO  BEUBSHFUJOH (PPHMF #BJEV BOE#JOH   XFCTFBSDISFTVMUT  %JHJUBMBTTJTUBOUT (PPHMF/PX "NB[PO"MFYB

  12. #SJFGIJTUPSZPG.-  /BJWF#BZFT T   -PHJTUJD3FHSFTTJPO  /FVSBM/FUXPSL 

    JOUPZGPSN T   -F/FU T VTFEGPS641PTUBM4FSWJDF  47. T   LFSOFMNFUIPE  TIBMMPXMFBSOJOHBOEOFFEGFBUVSFFOHJOFFSJOH GPSQFSDFQUVBMQSPCMFNT  3BOEPN'PSFTU  (SBEJFOU#PPTUJOH.BDIJOFT  POFPGUIFCFTU.-BMHPSJUINTGPSOPO QFSDFQUVBMQSPCMFNT  QPQVMBSJO,BHHMFDPNQFUJUJPOT

  13. #SFBLUISPVHITPG%FFQ-FBSOJOH  MFECZTPNFSFTFBSDIFST  (FP⒎SFZ)JOUPOBUUIF6OJWFSTJUZPG5PSPOUP  :PTIVB#FOHJPBUUIF6OJWFSTJUZPG.POUSFBM  :BOO-F$VOBU/FX:PSL6OJWFSTJUZ 

    )JOUPO`THSPVQXPO*NBHF/FU UPQpWFBDDVSBDZ   5IFDPNQFUJUJPOIBTCFFOEPNJOBUFECZEFFQDPOWPMVUJPOBMOFVSBM OFUXPSLTTJODFUIFO  UIFXJOOFSPG*NBHF/FUSFBDIFEBDDVSBDZ %-NBLFJUTFMGEJ⒎FSFOUGSPNPUIFS.-T JUTJNQMJpFE.-XPSLqPXTXJUIBVUPNBUFEGFBUVSFFOHJOFFSJOH JUDBOMFBSOBMMMBZFSTPGSFQSFTFOUBUJPOKPJOUMZ

  14. 8IZ%-OPX  5IFLFZJEFBTPG%-XFSFBMSFBEZVOEFSTUPPEMPOHBHP  $POWPMVUJPOBM//    -45. 

      8IZEJE%-POMZUBLFP⒎BGUFS   )BSEXBSF  YGBTUFS$16 CXBOE   (16 516  %BUBTFUTBOECFODINBSLT  TUPSBHFQSPHSFTT  UIFSJTFPG*OUFSOFU  CFODINBSLTPOPOMJOFDPNQFUJUJPO  "MHPSJUINBEWBODFT  CFUUFSBDUJWBUJPOGVODUJPOT  CFUUFSXFJHIUJOJUJBMJ[BUJPOTDIFNBT  CFUUFSPQUJNJ[BUJPOTDIFNBT 3.41SPQ "EBN