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Arahabica 2019/09/16
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Arahabica 2019/09/12
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Machine Learning Â |Â Google for Developers
Send feedback Stay organized with collections Save and categorize content based on your preferences. Google's fast-paced, practical introduction to machine learning, featuring a series of lessons with video lectures, interactive visualizations, and hands-on practice exercises.
Arahabica 2018/03/01
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MLã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ä»¥å¤–ã‚’å–ã‚Šæ‰±ã£ãŸå‹‰å¼·ä¼šã‚’é–‹å‚¬ã—ãŸè©± - å…ƒãƒ‡ãƒ¼ã‚¿åˆ†æžã®ä¼šç¤¾ã§åƒã„ã¦ã„ãŸäººã®å››æ–¹å±±è©±
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Arahabica 2018/01/04
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ML Ops Studyï¼ˆä»®ï¼‰ #1 (2017/12/19 19:00ã€œ)
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Arahabica 2018/01/04
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High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs We present a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs). Conditional GANs have enabled a variety of applications, but the results are often limited to low-resolution and still far from realistic. In thi
Arahabica 2017/12/07
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Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? Christopher Olahæ°ã®ãƒ–ãƒã‚°è¨˜äº‹ http://colah.github.io/posts/2015-08-Understanding-LSTMs/ ã®ç¿»è¨³ã§ã™ã€‚ ç¿»è¨³ã®èª¤ã‚Šãªã©ã‚ã‚Œã°ã”æŒ‡æ‘˜ãŠå¾…ã¡ã—ã¦ãŠã‚Šã¾ã™ã€‚ ##ãƒªã‚«ãƒ¬ãƒ³ãƒˆãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ äººé–“ã¯æ¯Žç§’ã‚¼ãƒã‹ã‚‰æ€è€ƒã‚’é–‹å§‹ã™ã‚‹ã“ã¨ã¯ã‚ã‚Šã¾ã›ã‚“ã€‚ã“ã®ã‚¨ãƒƒã‚»ã‚¤ã‚’èªã‚“ã§ã„ã‚‹é–“ã€ã‚ãªãŸã¯å‰ã®å˜èªžã®ç†è§£ã«åŸºã¥ã„ã¦ã€å„å˜èªžã‚’ç†è§£ã—ã¾ã™ã€‚ã™ã¹ã¦ã‚’æ¨ã¦ã¦ã€ã¾ãŸã‚¼ãƒã‹ã‚‰æ€è€ƒã‚’é–‹å§‹ã—ã¦ã¯ã„ã¾ã›ã‚“ã€‚ã‚ãªãŸã®æ€è€ƒã¯æŒç¶šæ€§ã‚’æŒã£ã¦ã„ã¾ã™ã€‚ å¾“æ¥ã®ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã¯ã€ã“ã‚Œã‚’è¡Œã†ã“ã¨ãŒã§ãã¾
Arahabica 2017/11/23
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Reddit - Dive into anything
There are many different service providers for GPU cloud computing (Amazon, Azure, Google Cloud, IBM Cloud, Nimbix, Aliyun, etc..) but their pricing schemes are almost never publ icly displayed. Do you use GPU cloud computing for your machine learning tasks? If so, what GPU do you use and what's the price per hour per GPU? It seems to me like cloud computing prices don't follow GPU prices. A GTX 10
Arahabica 2017/11/14
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Arahabica 2017/08/17
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Kaggleäº‹å§‹ã‚ - Qiita
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Arahabica 2017/04/30
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Arahabica 2017/04/29
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* Corresponding author. Tel.: +34 977 55 8508; fax: +34 977 55 9710. E-mail address: sergio.gomez@urv.net (S. GÃ³mez) Portfolio selection using neural networks Alberto FernÃ¡ndez, Sergio GÃ³mez* Departament dâ€™Enginyeria InformÃ tica i MatemÃ tiques, Universitat Rovira i Virgili, Campus Sescelades, Avinguda dels PaÃ¯sos Catalans 26, E-43007 Tarragona, Spain Abstract In this paper we apply a heuristic me
Arahabica 2017/04/28
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Arahabica 2017/04/28
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Arahabica 2017/04/16
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Arahabica 2017/04/16
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import tensorflow as tf input = [ [1., 0., 0.], [0., 1., 0.], [0., 0., 1.] ] winning_hands = [ [0., 1., 0.], [0., 0., 1.], [1., 0., 0.] ] x = tf.placeholder("float", [None, 3]) W = tf.Variable(tf.zeros([3, 3])) b = tf.Variable(tf.zeros([3])) y = tf.nn.softmax(tf.matmul(x, W) + b) y_ = tf.placeholder("float", [None, 3]) cross_entropy = -tf.reduce_sum(y_ * tf.log(y)) train_step = tf.train.GradientDe
Arahabica 2017/04/16
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Keras Documentation
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Arahabica 2017/04/11
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Arahabica 2017/04/10
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