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画風を変æ›ã™ã‚‹ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ - Preferred Networks Research & Development
Deep Neural Networkを使ã£ã¦ç”»åƒã‚’好ããªç”»é¢¨ã«å¤‰æ›ã§ãるプãƒã‚°ãƒ©ãƒ ã‚’Chainerã§å®Ÿè£…ã—ã€å…¬é–‹ã—ã¾ã—ãŸã€‚ https://github.com/mattya/chainer-gogh ã“ã‚“ã«ã¡ã¯ã€PFNリサーãƒãƒ£ãƒ¼ã®æ¾å…ƒã§ã™ã€‚ブãƒã‚°ã®1行目ã¯botã«æŒã£ã¦è¡Œã‹ã‚Œã‚„ã™ã„ã®ã§ã€3行目ã§æŒ¨æ‹¶ã—ã¦ã¿ã¾ã—ãŸã€‚ 今回実装ã—ãŸã®ã¯â€A Neural Algorithm of Artistic Styleâ€(元論文)ã¨ã„ã†ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã§ã™ã€‚生æˆã•ã‚Œã‚‹ç”»åƒã®ç¾Žã—ã•ã¨ã€ç”»åƒèªè˜ã®ã‚¿ã‚¹ã‚¯ã§äºˆã‚訓練ã—ãŸãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆã‚’ãã®ã¾ã¾æµç”¨ã§ãã‚‹ã¨ã„ã†ãŠæ‰‹è»½ã•ã‹ã‚‰ã€ä¸–ç•Œä¸ã§è©±é¡Œã«ãªã£ã¦ã„ã¾ã™ã€‚ã“ã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®ä»•çµ„ã¿ãªã©ã‚’説明ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ æ¦‚è¦ 2æžšã®ç”»åƒã‚’入力ã—ã¾ã™ã€‚片方を「コンテンツ画åƒã€ã€ã‚‚ã†ç‰‡æ–¹ã‚’「スタイル画åƒã€ã¨ã—ã¾ã—ょã†ã€‚ ã“ã®ãƒ—ãƒã‚°ãƒ©ãƒ ã¯ã€ã‚³ãƒ³ãƒ†ãƒ³ãƒ„ç”»åƒã«æ›¸ã‹ã‚ŒãŸç‰©ä½“ã®é…置をãã®ã¾
pythonã¨éºä¼çš„アルゴリズムã§ä½œã‚‹FX自動売買システムãã®1 - Qiita
base_domain = MODE.get('production') url_base = 'https://{}/v1/candles?'.format(base_domain) url = url_base + 'instrument={}&'.format(currency_pair.name) + \ 'count=5000&' +\ 'candleFormat=midpoint&' +\ 'granularity={}&'.format(granularity.name) +\ 'dailyAlignment=0&' +\ 'alignmentTimezone=Asia%2FTokyo&' +\ 'start={}T00%3A00%3A00Z'.format(start) response = requests_api(url) def requests_api(url, p
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今話題ã®Deep Learning(深層å¦ç¿’)フレームワークã€Chainerã«æ‰‹æ›¸ãæ–‡å—ã®åˆ¤åˆ¥ã‚’è¡Œã†ã‚µãƒ³ãƒ—ルコードãŒã‚ã‚Šã¾ã™ã€‚ã“ã¡ã‚‰ã‚’使ã£ã¦å†…容を少ã—解説ã™ã‚‹è¨˜äº‹ã‚’書ã„ã¦ã¿ãŸã„ã¨æ€ã„ã¾ã™ã€‚ (本記事ã®ã‚³ãƒ¼ãƒ‰ã®å…¨æ–‡ã‚’GitHubã«ã‚¢ãƒƒãƒ—ã—ã¾ã—ãŸã€‚[PC推奨]) ã¨ã«ã‹ãã€ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ãŒã™ã”ãç°¡å˜ã‹ã¤ã€PythonãŒæ›¸ã‘ã‚Œã°ã™ãã«ä½¿ã†ã“ã¨ãŒã§ãã¦ãŠã™ã™ã‚ã§ã™ï¼ Pythonã«é–‰ã˜ã¦ã‚³ãƒ¼ãƒ‰ãŒæ›¸ã‘ã‚‹ã®ã‚‚ã™ã”ãã„ã„ã§ã™ã‚ˆã。 ã“ã‚“ãªæ„Ÿã˜ã®ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ãƒ¢ãƒ‡ãƒ«ã‚’試ã—ã¦ã¿ã‚‹ã€ã¨ã„ã†è¨˜äº‹ã§ã™ã€‚ 主è¦ãªæƒ…å ±ã¯ã“ã¡ã‚‰ã«ã‚ã‚Šã¾ã™ã€‚ Chainerã®ãƒ¡ã‚¤ãƒ³ã‚µã‚¤ãƒˆ Chainerã®GitHubリãƒã‚¸ãƒˆãƒª Chainerã®ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«ã¨ãƒªãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ #1. インストール# ã¾ãšã¯ä½•ã¯ã¨ã‚‚ã‚れインストールã§ã™ã€‚Chainerã®GitHubã«è¨˜è¼‰ã®"Requirements" ( https://github.
Model-Based Machine Learning: How can machine learning solve my problem?
Want a paper copy? You can now buy the book! All royalties go to the Cystic Fibrosis Trust. Spotted an error? Have comments? Let us know! Follow @mbmlbook Get hands on with source code for the book. How can machine learning solve my problem? As machine learning researchers, there’s a question that we get asked in some form almost every day: “How can machine learning solve my problem?†In this book
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Hopfield networkã¯ã€ä¸€èˆ¬çš„ãªã‚¯ãƒ©ã‚¹åˆ†é¡žä»¥å¤–ã«æœ€é©åŒ–å•é¡Œã¸ã®å¿œç”¨ãŒå¯èƒ½ãªãƒ¢ãƒ‡ãƒ«ã§ã™ã€‚ Elman/Jordanã¯ã€Simple recurrent networksã¨è¨€ã‚ã‚Œã¦ã„るよã†ã«ä¸€ç•ªã‚·ãƒ³ãƒ—ルãªå½¢ã¨ãªã£ã¦ã„ã¾ã™ã€‚RNNを利用ã—ãŸã„å ´åˆã¯ã¾ãšã©ã¡ã‚‰ã‹ã§ã‚„ã£ã¦ã¿ã¦ã€ç²¾åº¦çš„ãªå•é¡ŒãŒã‚ã‚‹ã®ãªã‚‰ä»–ã®æ‰‹æ³•ã«åˆ‡ã‚Šæ›¿ãˆã¦ã¿ã‚‹ã€ã¨ã„ã†ã®ãŒã‚ˆã„ã®ã§ã¯ãªã„ã‹ã¨æ€ã„ã¾ã™ã€‚ Elman/Jordanã®é•ã„ã¯ä¸Šè¨˜ã®ã¨ãŠã‚Šã§ã™ãŒ(å‰å›žãƒ‡ãƒ¼ã‚¿ã®åæ˜ ãŒéš れ層ã‹ã‚‰è¡Œã‚れるã‹ã€å‡ºåŠ›å±¤ã‹ã‚‰è¡Œã‚れるã‹)ã€ã“ã¡ã‚‰ã«ã‚‚詳ã—ã書ã‹ã‚Œã¦ã„ã¾ã™ã€‚精度的ãªå„ªåŠ£ã¯ã‚ã‚Šã¾ã›ã‚“ãŒã€éš れ層ã®æ•°ã«ã‚ˆã£ã¦æ¬¡ã«ä¼æ’ã™ã‚‹é‡ã‚’変化ã•ã›ã‚‰ã‚Œã‚‹Elmanã®æ–¹ãŒæŸ”軟ã¨è¨€ãˆã‚‹ã¨æ€ã„ã¾ã™ã€‚ Echo state networkã¯æ¯›è‰²ãŒé•ã£ãŸãƒ¢ãƒ‡ãƒ«ã§ã€ãƒŽãƒ¼ãƒ‰ã‚’事å‰ã«çµåˆã›ãšReservoir(è²¯æ°´æ± ãªã©ã®æ„味)ã¨å‘¼ã°ã‚Œã‚‹ãƒ—ールã«è²¯ã‚ã¦ãŠãã€å…¥åŠ›ãŒä¸Žãˆã‚‰ã‚Œ
ã¯ã˜ã‚ã‚‹Deep learning - Qiita
Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? ãã†ã ã€Deep learningã‚’ã‚„ã‚ã†ã€‚ãã‚“ãªã‚ãªãŸã¸é€ã‚‹è§£èª¬è¨˜äº‹ã§ã™ã€‚ ãã†è¨€ã„ãªãŒã‚‰ã‚‚ç§è‡ªèº«å‹‰å¼·ã—ãªãŒã‚‰æ›¸ã„ã¦ã„ã‚‹ã®ã§èª¤è¨˜ã‚„勘é•ã„ãªã©ãŒã‚ã‚‹ã‹ã‚‚ã—ã‚Œã¾ã›ã‚“。もã—見ã¤ã‘ãŸã‚‰ã”連絡ãã ã•ã„。 Deep learningã¨ã¯ ã“ã¡ã‚‰ã®ã‚¹ãƒ©ã‚¤ãƒ‰ãŒã¨ã¦ã‚‚よãã¾ã¨ã¾ã£ã¦ã„ã¾ã™ã€‚ Deep learning ã¤ã¾ã‚‹ã¨ã“ã‚ã€Deep learningã®ç‰¹å¾´ã¯ã€Œç‰¹å¾´ã®æŠ½å‡ºã¾ã§ã‚„ã£ã¦ãれるã€ã¨ã„ã†ç‚¹ã«å°½ãã‚‹ã¨æ€ã„ã¾ã™ã€‚ 例ãˆã°ç›¸æ’²å–りを判定ã™ã‚‹ãƒ¢ãƒ‡ãƒ«ã‚’構築ã™ã‚‹ã¨ã—ãŸã‚‰ã€æ™®é€šã¯ã€Œè…°å›žã‚Šã‚µã‚¤ã‚ºã€ã€Œãƒžã‚²ã®æœ‰ç„¡ã€ã€Œå’Œè£…ã‹å¦ã‹ã€ã¨ã„ã£ãŸç‰¹å¾´ã‚’定義ã—ã¦ã€ãれを
ディープラーニングを使ã£ãŸã‚¤ãƒ¡ãƒ¼ã‚¸ã®åˆ‡ã‚ŠæŠœã | カメリオ開発者ブãƒã‚°
ã“ã‚“ã«ã¡ã¯ã€ã‚·ãƒã‚¿ã‚¢ã‚ラã§ã™ã€‚ã“ã®åº¦PyDataã®æœ¬å®¶ã§ã‚るアメリカã®ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ãƒ¼ã§åŠå¹´ã«ä¸€åº¦é–‹å‚¬ã•ã‚Œã¦ã„ã‚‹PyDataカンファレンスã«å‡ºå¸ã™ã‚‹ãŸã‚ã€NYCã«è¡Œã£ã¦æ¥ã¾ã—ãŸã€‚11/22-11/23ã®äºŒæ—¥é–“ã®æ—¥ç¨‹ã§è¡Œã‚ã‚Œã€å»¶ã¹250人ã»ã©ãŒå‚åŠ ã—ãŸã‚¤ãƒ™ãƒ³ãƒˆã§ã™ã€‚ãã®æ™‚ã®æ¨¡æ§˜ã¯ã€å…ˆæ—¥ã®PyData Tokyo第二回ミートアップã§ã‚‚ã”説明ã•ã›ã¦ã„ãŸã ãã€ã¾ãŸå¾Œæ—¥è¨˜äº‹åŒ–ã•ã‚Œã‚‹ã¨æ€ã„ã¾ã™ã®ã§ã€ãã¡ã‚‰ã‚’ãœã²ã”覧ã„ãŸã ã‘ã‚Œã°ã¨æ€ã„ã¾ã™ã€‚ 今回ã¯ãã®PyData NYCカンファレンスã§ç§ãŒç™ºè¡¨ã—ã¦ããŸãƒŸãƒ‹ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã«ã¤ã„ã¦ãŠè©±ã—ã¾ã™ã€‚最近å„所ã§è©±é¡Œã«ä¸ŠãŒã‚‹ãƒ‡ã‚£ãƒ¼ãƒ—ラーニングã§ã™ãŒã€ã“れを使ã£ãŸå¿œç”¨ã‚’「カメリオã€ã®ã‚µãƒ¼ãƒ“スå‘上ã®ãŸã‚ã«ä½¿ãˆãªã„ã‹ã€ã¨ã„ã†ã®ãŒãã‚‚ãã‚‚ã®ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã®ç€æƒ³ã§ã—ãŸã€‚今回PyData Tokyoオーガナイザーã¨ã—ã¦ã€ã¾ãŸãƒ‡ã‚£ãƒ¼ãƒ—ラーニングã§è‰²ã€…ã¨é¢ç™½ã„実験をã—ã¦ã„ã‚‹ç”°ä¸ã•ã‚“（@a
Deep Learning
Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence. This website is intended to host a variety of resources and pointers to information about Deep Learning. In these pages you will find a reading list, links to software, datasets, a list of deep learning resea
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Kernel-Machines.Org — Kernel Machines
This page is devoted to learning methods building on kernels, such as the support vector machine. It grew out of earlier pages at the Max Planck Institute for Biological Cybernetics and at GMD FIRST, snapshots of which can be found here and here. In those days, information about kernel methods was sparse and nontrivial to find, and the kernel machines web site acted as a central repository for the
[追悼]第å‚回天下一カウボーイ大会 金å勇æ°ã®ç™ºè¡¨
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Support Vector Machine
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