ಟ್ವೀಟ್ಗಳು
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@fastml_extra ತಡೆಹಿಡಿಯಲಾಗಿದೆ
ನೀವು ಖಚಿತವಾಗಿಯೂ ಈ ಟ್ವೀಟ್ಗಳನ್ನು ನೋಡಲು ಬಯಸುವಿರಾ? ಟ್ವೀಟ್ಗಳನ್ನು ನೋಡುವುದು @fastml_extra ಅವರನ್ನು ತಡೆತೆರವುಗೊಳಿಸುವುದಿಲ್ಲ.
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A mural is purposely painted upside down to reflect right side up in the water http://trib.al/086p3wD pic.twitter.com/sfuhuqNNdf
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New
#gensim release 1.0.0. Switch to#semver semantic versioning. Major new features. Breaking change in#word2vec. https://rare-technologies.com/gensim-switches-to-semantic-versioning/ … -
Man, stop yapping and proceed with getting rich with those stock market predictions of yours.https://twitter.com/sirajraval/status/835326499276259328 …
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Prophet is an open-source forecasting package implemented in both Python and R, used in production at Facebook: https://facebookincubator.github.io/prophet/
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Shake-Shake regularization code https://github.com/xgastaldi/shake-shake … claims 2.72% on CIFAR-10. Fun - add more stochastic, even "break" backprop.
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"Why would I use it?" That's a very good question. Well, if you only had logistic regression and a decision tree as an alternative...https://twitter.com/kdnuggets/status/834818864844308480 …
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New music video from
@maroon5 featuring#deepdream around 3:14 or so. Pretty cool. https://youtu.be/XatXy6ZhKZw?t=194 …pic.twitter.com/c0GXZdKN9C
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What would you do with unlimited computing power? https://www.reddit.com/r/MachineLearning/comments/5vr694/d_what_would_you_do_with_unlimited_computing_power/?sort=top … "Two classifiers at once" and more
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Counterfactual Control for Free from Generative Models (RL): https://arxiv.org/abs/1702.06676 Code: https://github.com/arayabrain/GenerativeControl …https://www.reddit.com/r/MachineLearning/comments/5vnotr/r_170206676_counterfactual_control_for_free_from/ …
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[highly detailed] Read-through: Wasserstein GAN http://www.alexirpan.com/2017/02/22/wasserstein-gan.html … WGAN is just a special case of LambGAN:https://www.reddit.com/r/MachineLearning/comments/5vr694/d_what_would_you_do_with_unlimited_computing_power/ …
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Has anyone tried this? 'Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks' https://arxiv.org/abs/1702.05870
#AI -
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Wages of Wins: Could an Amateur Make Money from Match Outcome Predictions? https://arxiv.org/abs/1702.05982 Use Naive Bayes and wait for mid-season!pic.twitter.com/EYB8HCoE2H
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Char2Wav: Great progress towards Speech Synthesis without requiring years of language-specific feature engineering! http://josesotelo.com/speechsynthesis/ …pic.twitter.com/6EoeOd2eHO
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Wow. You can draw a picture and this website will turn it into a cat! http://affinelayer.com/pixsrv/index.html …pic.twitter.com/GD3fzmn3EU
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Ooh no IBM Watson having another fail and loosing an important client.
https://twitter.com/SVAIresearch/status/833581769769115648 … -
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Every time I get nervous about AI, I picture my Roomba stuck under this table.pic.twitter.com/e2xasBLYBW
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I like this paper a lot. Refreshing to see alternative methods to policy search, away from typical resource-heavy and time-consuming DeepRL.https://twitter.com/Miles_Brundage/status/833859997125713921 …
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Audio Super-Resolution using Neural Networks https://openreview.net/forum?id=S1gNakBFx¬eId=S1gNakBFx … I was wondering how long this would take to happen! No samples yet.
#MLpic.twitter.com/H9timfTFER
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Generating plausible colour palettes via GANs (
#pix2pix) http://colormind.io/blog/ pic.twitter.com/yLHoUQAU33
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Contrary to popular belief, Deep Learning is theoretically grounded. We just don't know what the theory is yet.
ಲೋಡಿಂಗ್ ಸಮಯ ಸ್ವಲ್ಪ ತೆಗೆದುಕೊಳ್ಳುತ್ತಿರುವಂತೆನಿಸುತ್ತದೆ.
Twitter ಸಾಮರ್ಥ್ಯ ಮೀರಿರಬಹುದು ಅಥವಾ ಕ್ಷಣಿಕವಾದ ತೊಂದರೆಯನ್ನು ಅನುಭವಿಸುತ್ತಿರಬಹುದು. ಮತ್ತೆ ಪ್ರಯತ್ನಿಸಿ ಅಥವಾ ಹೆಚ್ಚಿನ ಮಾಹಿತಿಗೆ Twitter ಸ್ಥಿತಿಗೆ ಭೇಟಿ ನೀಡಿ.
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