ãçŸåœ¹AIãšã³ãžãã¢ããåŠã¶ãDeep Learningå ¥é
åºæ¬æ å ±
- æ¥æ
- ã
- éå¬åœ¢åŒ
- çŸå°éå¬
- äŒå Ž
- Phaseäžé
ã€ãã³ãå 容
ãçŸåœ¹AIãšã³ãžãã¢ããåŠã¶ããã£ãŒãã©ãŒãã³ã°å ¥é
â»æ¬è¬åº§ãåè¬ããããšã§ä»¥äžã®ããšãåŸãããŸã
ã»AIã®åæ©ç¥èããã£ãŒãã©ãŒãã³ã°ã®ä»çµã¿ã人工ç¥èœãåŠç¿ããæµããçè§£ã§ããïŒ
ã»ç©äœèå¥ã®ããã°ã©ãã³ã°ãäœéšã§ããïŒ
ã»ãã¡ãã·ã§ã³AIãããžã§ã¯ãã«ãããAIã®å¯èœæ§ã«ã€ããŠçŸå Žã®çã®å£°ãèããïŒ
â»ããã°ã©ãã³ã°çµéšã®ãªãæ¹ã§ãçè§£ã§ããå
容ãšãªã£ãŠãããŸãã
æŠèŠ
AIã®æŽå²ããã£ãŒãã©ãŒãã³ã°ã¢ãã«ã®ä»çµã¿ã人工ç¥èœãåŠç¿ããæµããåžžèãå€ããç»åèªèã®æå
端ãªã©ãAIã«é¢ããæ§ã
ãªçåãçŸåœ¹AIãšã³ãžãã¢ã解説ããŸãïŒ
åŸåã®ãã³ãºãªã³ã§ã¯ãå®éã«ç©äœèå¥ã®ããã°ã©ãã³ã°ãè¡ã人工ç¥èœã®äžç«¯ãäœæããŠé ããŸãã
â»ããã°ã©ãã³ã°çµéšã®ãªãæ¹ã«ãçè§£ã§ããå
容ã«ãªã£ãŠãããŸãã
â ãããªæ¹ã«ãªã¹ã¹ã¡ïŒ
ã»AIãäžããå匷ããã
ã»AIããã£ãŒãã©ãŒãã³ã°ã«èå³ããã
ã»ä»åŸãã£ãŒãã©ãŒãã³ã°ã䜿ãäºå®ããã
ã»AIã®å°å
¥ãæ€èšäž
ã
è¬åž«ç¥æŽ
ã»2015幎ããœãããŠã§ã¢äŒç€Ÿã«ãšã³ãžãã¢ãšããŠå ¥ç€Ÿ
ã»2016幎ãGPUãçšããæŒç®é«éåææ³ã®éçºã«åŸäº
ã»2018幎ãçµèŸŒåããã£ãŒãã©ãŒãã³ã°ç ç©¶éçºã«åŸäº
ã»æªæ¥æè¡æšé²åäŒãé²ããããã¡ãã·ã§ã³AIããããžã§ã¯ãã§æŽ»èºäžïŒ
äºåæºå
ã»ãã³ãºãªã³ããŒãã§äœ¿çšããç°å¢ãäºåã«æºåé ããšåœæ¥ã¹ã ãŒãºã«åå ã§ããŸãã
ãAnacondaã
https://www.anaconda.com/download/
â»Python vertion 3.7ã®æ¹ãããŠã³ããŒãããŠãã ãã
ã¿ã€ã ã¹ã±ãžã¥ãŒã«
| æé | æ¡å |
| 19ïŒ20ïœ | éå Ž |
| 19ïŒ30ïœ | éå§æšæ¶ |
| 19ïŒ35ïœ |
è¬æŒããŒã - ããããAIïŒäººå·¥ç¥èœïŒã£ãŠäœïŒ - Deep LearningïŒãã£ãŒãã©ãŒãã³ã°ïŒã§åºæ¥ãããš - Deep Learningã®ä»çµã¿ãçè§£ããã - 質çå¿ç |
| 20ïŒ10ïœ | å°äŒæ© |
| 20ïŒ15ïœ | ãã³ãºãªã³ã»ããŒã - ç©äœèå¥ããã£ãŠã¿ããïŒïŒ ã»äœ¿çšã¢ãã«ïŒTensorflow keras VGG16ã¢ãã« |
| ïœ21:30 | æèŠªäŒ |
â æ³šæäºé
â» åœæ¥äºåãªãæéé
åã»å
容ã倿Žã«ãªãå¯èœæ§ãããããŸãã
â» ãã³ãºãªã³ããŒãã§ã¯ãPCãå©çšããŠã®é²è¡ãæ³å®ããŠããŸãã
PCã¯åå è
åèªã§ãæã¡ããã ããŸãããããããããé¡ãããŸãã
â»äŒå Žã«ç¡æWi-FiããçšæããŠãããŸãããåºæ¥ãã ããã±ããWi-Fiã®ãæºåããé¡ãèŽããŸãã
åå è²»
ã»äºåæ¯æãïŒ2,000åïŒæèŠªäŒè²»èŸŒã¿ïŒ
â»é嬿¥ãã1é±é以äžåã«ãç³èŸŒã¿ã¯1500å
ã»åœæ¥æ¯æãïŒ3,000åïŒæèŠªäŒè²»èŸŒã¿ïŒ
â»æªæ¥æè¡æšé²åäŒã®ææäŒå¡ãéåžžã®åå è²»ãé ããŸã
ãããåŸããã£ã³ã»ã«ãããå Žåã¯ãé嬿¥ã®3æ¥å(â»)ãŸã§ã«ä»¥äžã®é£çµ¡å ã¡ãŒã«ã¢ãã¬ã¹å®ã«ãã£ã³ã»ã«ã®ãé£çµ¡ãããã ããæ¹ã«éããè¬åº§é嬿¥ãã1é±é以å ã«stripeã«ãŠäŒè²»ãæãæ»ãèŽããŸãã
äœããæãæ»ãæç¶ãã«èŠããpaypalææ°æãå·®ãåŒãããŠããã ããŸãã
ãŸãããã£ã³ã»ã«ã®ãé£çµ¡ãé嬿¥ã®2æ¥å(â»)ãã以éã«ããã ããå ŽåããŸãã¯ãã£ã³ã»ã«ã®ãé£çµ¡ãç¡ãã£ãå Žåã¯ãæãæ»ãã«å¿ããããŸããã®ã§ãçæãã ããã
ãªããç³èŸŒæ¥ãã3æ¥ä»¥å (â»)ã«äŒè²»ããæ¯ã蟌ã¿ããã ããªãå Žåããç³èŸŒã¿ããã£ã³ã»ã«ãšãããŠããã ããŸãã
(â») åæ¥ç¥æ¥ãå«ãã æ¥æ°ã§ãã
äŒå Ž
âPhaseäžé
ã»æ±äº¬éœå°æ±åºæ±äžé2-12-9 ãã¹ããã«ã2é
âã¢ã¯ã»ã¹
- æ±äº¬ã¡ããéåº§ç· äžéé§
åŸæ©4å
- JRå±±æç· 埡åŸçºé§
åŸæ©6å
äŒç»ã»éå¶

ç§ãã¡æªæ¥æè¡æšé²åäŒã¯ãäŒæ¥ãå°éãè¶
ãã20代-30代ã®è¥ææè¡è
ãããªãå£äœã§ãã倧åŠç ç©¶è
ãäŒæ¥ãæè³å®¶ãæ°ããæè¡ã«èå³ãæã€ç€ŸäŒäººã»åŠçãããªãã³ãã¥ããã£ãŒã圢æãã瀟äŒèª²é¡ããã¯ãããžãŒã§è§£æ±ºããããšãç®çãšããŠããŸãã
ä»åŸããå°æ¥ã®æ¥æ¬ãæ
ãæå
端æè¡ãäžã®äžã«çºä¿¡ããç¹ã«SDGsããã¯ãããžãŒã§è§£æ±ºãã¹ããã³ãã¥ããã£ãŒåœ¢æã«åãçµãã§ãŸãããŸãã
äžè¬ç€Ÿå£æ³äººãæªæ¥æè¡æšé²åäŒ
éå¶ã¹ã¿ãããå±±æ¬
MailïŒk-yamamoto@future-tech-association.org
泚æäºé
ãªã¯ã«ãŒãã£ã³ã°ãå§èªãæ¡çšæŽ»åã人ã®è©±ãèããªããªã©ãç®çã«æ²¿ããªãè¡çºã«ã€ããŸããŠãäž»å¬è ãçžå¿ãããªããšå€æããå Žåã¯å³å»éåºåŠåãšããŸãã
å šå¡ãæ°æã¡ããéããããšãåºæ¥ãããããååããé¡ãèŽããŸãã
泚æäºé
â» ãã¡ãã®ã€ãã³ãæ å ±ã¯ãå€éšãµã€ãããååŸããæ å ±ãæ²èŒããŠããŸãã
â» æ²èŒã¿ã€ãã³ã°ãæŽæ°é »åºŠã«ãã£ãŠã¯ãæ å ±æäŸå ããŒãžã®å 容ãšå·®ç°ãçºçããŸãã®ã§äºããäºæ¿ãã ããã
â» ææ°æ å ±ã®ç¢ºèªãåå ç³èŸŒæç¶ããã€ãã³ãã«é¢ãããåãåããçã¯æ å ±æäŸå ããŒãžã«ãŠãé¡ãããŸãã

ãåãåãã
é¢é£ããã€ãã³ã

4/29ãçŸåœ¹ãšã³ãžãã¢ã®ç¡æãã£ãªã¢çžè«ä»ããAIç«¶äºã§éèŠæ¥å¢äžã®ãPythonããåŠãã§ãã£ãªã¢ã¢ãããç®æãã in æ±äº¬
2026/04/29(æ°Ž) éå¬
5/6ãçŸåœ¹ãšã³ãžãã¢ã®ç¡æãã£ãªã¢çžè«ä»ããAIç«¶äºã§éèŠæ¥å¢äžã®ãPythonããåŠãã§ãã£ãªã¢ã¢ãããç®æãã in æ±äº¬
2026/05/06(æ°Ž) éå¬
5/1ãçŸåœ¹ãšã³ãžãã¢ã®ç¡æãã£ãªã¢çžè«ä»ããAIç«¶äºã§éèŠæ¥å¢äžã®ãPythonããåŠãã§ãã£ãªã¢ã¢ãããç®æãã in æ±äº¬
2026/05/01(é) éå¬
2026幎ãAIé§ååããžãã¹ãžã®è»¢æã«åããæçå®è¡ããŒãããããããªããšãªãAIå°å ¥ããŠã¿ããã®çµçãšã仿ããã¹ãããšã
2026/04/22(æ°Ž) éå¬
5/23ãçŸåœ¹ãšã³ãžãã¢ã®ç¡æãã£ãªã¢çžè«ä»ããAIç«¶äºã§éèŠæ¥å¢äžã®ãPythonããåŠãã§ãã£ãªã¢ã¢ãããç®æãã in æ±äº¬
2026/05/23(å) éå¬- TOP
- ã€ãã³ã
- ãçŸåœ¹AIãšã³ãžãã¢ããåŠã¶ãDeep Learningå ¥é
