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Deep Learning Monitor - Find new Arxiv papers, tweets and Reddit posts ...

www.deeplearn.org/

Things happening in deep learning: arxiv, twitter, reddit

Most Used Html Elements

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<span> : 566
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<a> : 282
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<link> : 4
<li> : 3

Most Used Html Classes

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"label" : 348
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Where is www.deeplearn.org hosted?

Country:

United States

City:

San Francisco

Registrar:

Public Interest Registry

Latitude:

37.77

Longitude:

-122.39

IP address:

104.24.115.104

IP Binary address:

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IP Octal address:

15006071550

IP Hexadecimal address:

68187368

Context analysis of deeplearn.org

Number of letters on this page:

23 509

Number of words on this page:

4 901

Number of sentences on this page:

233

Average words per sentences on this page:

21

Number of syllables on this page:

7 975

Domain name architecture

Domain name length:

13

Hyphens:

Domain doesn't contain hyphens!

Domain name with Hindi letters:

द ए ए प ल ए अ र ञ . ओ र ग

Domain name with Hebrew letters:

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Domain name with Cyrillic letters:

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Domain name with Arabic letters:

د (e) (e) (p) ل (e) ا ر ن . (o) ر غ

Domain name with Greek letters:

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Domain name with Chinese letters:

迪伊伊屁艾勒伊诶艾儿艾娜 . 哦艾儿吉

Domain without Consonants:

dplrn.rg

Domain without Vowels:

eeea.o

Alphabet positions:

d⁴ e⁵ e⁵ p¹⁶ l¹² e⁵ a¹ r¹⁸ n¹⁴ . o¹⁵ r¹⁸ g⁷

Domain name pattern:
V: Vowel, C: Consonant, N: Number

C V V C C V V C C . V C C

<HEAD> DATA INFORMATION

Encoding:

utf-8

keywords:

deep learning, paper, arxiv, twitter

description:

Things happening in deep learning: arxiv, twitter, reddit

google-site-verification:

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viewport:

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Internal links in deeplearn.org

/
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/about
/cdn-cgi/l/email-protection
/arxiv/13659/a-brief-survey-of-deep-reinforcement-learning
/arxiv/13763/super-convergence:-very-fast-training-of-residual-networks-using-large-learning-rates
/arxiv/13528/towards-the-automatic-anime-characters-creation-with-generative-adversarial-networks
/arxiv/13708/badnets:-identifying-vulnerabilities-in-the-machine-learning-model-supply-chain
/arxiv/13704/twin-networks:-using-the-future-as-a-regularizer
/arxiv/13064/unsupervised-incremental-learning-of-deep-descriptors-from-video-streams
/arxiv/13137/deep-reinforcement-learning-for-high-precision-assembly-tasks
/arxiv/13279/graph-classification-via-deep-learning-with-virtual-nodes
/arxiv/13431/deep-learning-at-15pf:-supervised-and-semi-supervised-classification-for-scientific-data
/arxiv/13460/deep-&-cross-network-for-ad-click-predictions
/arxiv/13390/theosea:-marching-theory-to-light
/arxiv/13261/extractive-summarization-using-deep-learning
/arxiv/13490/what-does-a-convolutional-neural-network-recognize-in-the-moon?
/arxiv/13203/direct-manipulation-visualization-of-deep-networks
/arxiv/13442/machine-learning-as-an-adversarial-service:-learning-black-box-adversarial-examples
/arxiv/13413/pixelnn:-example-based-image-synthesis
/arxiv/13319/fault-in-your-stars:-an-analysis-of-android-app-reviews
/arxiv/13411/efficient-use-of-limited-memory-resources-to-accelerate-linear-learning
/arxiv/13395/augmentor:-an-image-augmentation-library-for-machine-learning
/arxiv/13726/automatic-detection-and-decoding-of-honey-bee-waggle-dances
/arxiv/13119/deep-object-centric-representations-for-generalizable-robot-learning
/arxiv/13440/deep-neural-network-with-l2-norm-unit-for-brain-lesions-detection
/arxiv/13246/improved-regularization-of-convolutional-neural-networks-with-cutout
/arxiv/13432/adaptive-clustering-using-kernel-density-estimators
/arxiv/13455/pixel-level-matching-for-video-object-segmentation-using-convolutional-neural-networks
/arxiv/13483/learning-spectro-temporal-features-with-3d-cnns-for-speech-emotion-recognition
/arxiv/13437/faceboxes:-a-cpu-real-time-face-detector-with-high-accuracy
/arxiv/13452/natural-language-processing:-state-of-the-art,-current-trends-and-challenges
/arxiv/13598/neural-block-sampling
/arxiv/13443/brain-abnormality-detection-by-deep-convolutional-neural-network
/arxiv/13826/multivariate-dependency-measure-based-on-copula-and-gaussian-kernel
/arxiv/13824/applying-data-augmentation-to-handwritten-arabic-numeral-recognition-using-deep-learning-neural-networks
/arxiv/13827/depth-super-resolution-meets-uncalibrated-photometric-stereo
/arxiv/13828/an-ensemble-classifier-for-predicting-the-onset-of-type-ii-diabetes
/arxiv/13829/m2d:-monolog-to-dialog-generation-for-conversational-story-telling
/arxiv/13830/review-on-computer-vision-techniques-in-emergency-situation
/arxiv/13831/automatic-myocardial-segmentation-by-using-a-deep-learning-network-in-cardiac-mri
/arxiv/13832/bayesian-compressive-sensing-using-normal-product-priors
/arxiv/13833/lifelong-learning-with-dynamically-expandable-networks
/arxiv/13834/differentially-private-regression-for-discrete-time-survival-analysis
/arxiv/13835/inverting-variational-autoencoders-for-improved-generative-accuracy
/arxiv/13820/variational-autoencoders-for-tissue-heterogeneity-exploration-from-(almost)-no-preprocessed-mass-spectrometry-imaging-data
/arxiv/13836/cloudscan---a-configuration-free-invoice-analysis-system-using-recurrent-neural-networks
/arxiv/13837/mixing-time-estimation-in-reversible-markov-chains-from-a-single-sample-path
/arxiv/13838/learning-robust-features-for-gait-recognition-by-maximum-margin-criterion
/arxiv/13839/a-haar-wavelet-based-perceptual-similarity-index-for-image-quality-assessment
/arxiv/13840/models-of-retrieval-in-sentence-comprehension:-a-computational-evaluation-using-bayesian-hierarchical-modeling
/arxiv/13841/an-lstm-based-dynamic-customer-model-for-fashion-recommendation
/arxiv/13842/gradient-based-camera-exposure-control-for-outdoor-mobile-platforms
/arxiv/13843/a-strongly-quasiconvex-pac-bayesian-bound
/arxiv/13844/active-sampling-of-pairs-and-points-for-large-scale-linear-bipartite-ranking
/arxiv/13845/relaxed-spatio-temporal-deep-feature-aggregation-for-real-fake-expression-prediction
/arxiv/13846/online-real-time-multiple-spatiotemporal-action-localisation-and-prediction
/arxiv/13847/generalized-maximum-entropy-estimation
/arxiv/13848/ease.ml:-towards-multi-tenant-resource-sharing-for-machine-learning-workloads
/arxiv/13849/learning-grasping-interaction-with-geometry-aware-3d-representations
/arxiv/13821/image-based-localization-using-hourglass-networks
/arxiv/13850/area-protection-in-adversarial-path-finding-scenarios-with-multiple-mobile-agents-on-graphs:-a-theoretical-and-experimental-study-of-target-allocation-strategies-for-defense-coordination
/arxiv/13851/recent-advances-in-the-applications-of-convolutional-neural-networks-to-medical-image-contour-detection
/arxiv/13852/learning-generalized-reactive-policies-using-deep-neural-networks
/arxiv/13670/reinforcement-learning-with-a-corrupted-reward-channel
/arxiv/13229/a-hierarchical-framework-of-cloud-resource-allocation-and-power-management-using-deep-reinforcement-learning
/arxiv/13153/inverse-reinforcement-learning-in-large-state-spaces-via-function-approximation
/arxiv/13352/starcraft-ii:-a-new-challenge-for-reinforcement-learning
/arxiv/13375/particle-swarm-optimization-for-generating-interpretable-fuzzy-reinforcement-learning-policies
/arxiv/13548/learning-to-perform-physics-experiments-via-deep-reinforcement-learning
/arxiv/13730/reinforcement-learning-in-pomdps-with-memoryless-options-and-option-observation-initiation-sets
/arxiv/13142/group-driven-reinforcement-learning-for-personalized-mhealth-intervention
/arxiv/13867/cohesion-based-online-actor-critic-reinforcement-learning-for-mhealth-intervention
/arxiv/13640/solving-a-new-3d-bin-packing-problem-with-deep-reinforcement-learning-method
/arxiv/13256/learning-light-transport-the-reinforced-way
/arxiv/13484/scalable-trust-region-method-for-deep-reinforcement-learning-using-kronecker-factored-approximation
/arxiv/13453/scalable-trust-region-method-for-deep-reinforcement-learning-using-kronecker-factored-approximation
/arxiv/13446/a-deep-learning-approach-for-joint-video-frame-and-reward-prediction-in-atari-games
/arxiv/13195/ubuntuworld-1.0-lts---a-platform-for-automated-problem-solving-&-troubleshooting-in-the-ubuntu-os
/arxiv/13571/fake-news-in-social-networks
/arxiv/13175/belief-tree-search-for-active-object-recognition
/arxiv/13665/visual-forecasting-by-imitating-dynamics-in-natural-sequences
/arxiv/13505/ladder:-a-human-level-bidding-agent-for-large-scale-real-time-online-auctions
/arxiv/13857/a-study-on-neural-network-language-modeling
/arxiv/13755/google's-multilingual-neural-machine-translation-system:-enabling-zero-shot-translation
/arxiv/13523/syllable-level-neural-language-model-for-agglutinative-language
/arxiv/13343/language-identification-using-deep-convolutional-recurrent-neural-networks
/arxiv/13729/long-short-range-context-neural-networks-for-language-modeling
/arxiv/13751/cold-fusion:-training-seq2seq-models-together-with-language-models
/arxiv/13637/natural-language-does-not-emerge-'naturally'-in-multi-agent-dialog
/arxiv/13095/n-gram-and-neural-language-models-for-discriminating-similar-languages
/arxiv/13689/cross-lingual-dependency-parsing-for-closely-related-languages---helsinki's-submission-to-vardial-2017
/arxiv/13812/spatio-temporal-person-retrieval-via-natural-language-queries
/arxiv/13271/fluency-guided-cross-lingual-image-captioning
/arxiv/13594/vector-space-model-as-cognitive-space-for-text-classification
/arxiv/13303/natural-language-generation-for-spoken-dialogue-system-using-rnn-encoder-decoder-networks
/arxiv/13611/acquisition-of-translation-lexicons-for-historically-unwritten-languages-via-bridging-loanwords
/arxiv/13627/neural-networks-compression-for-language-modeling
/arxiv/13302/statistical-vs-rule-based-machine-translation;-a-case-study-on-indian-language-perspective
/arxiv/13547/a-review-of-methodologies-for-natural-language-facilitated-human-robot-cooperation
/arxiv/13782/a-neural-network-approach-for-mixing-language-models
/arxiv/13513/assessing-the-stylistic-properties-of-neurally-generated-text-in-authorship-attribution
/arxiv/13725/the-argument-reasoning-comprehension-task
/arxiv/13616/a-batch-noise-contrastive-estimation-approach-for-training-large-vocabulary-language-models
/arxiv/13498/future-word-contexts-in-neural-network-language-models
/arxiv/13861/nnvlp:-a-neural-network-based-vietnamese-language-processing-toolkit
/arxiv/13876/criticality-in-formal-languages-and-statistical-physics
/arxiv/13306/recent-trends-in-deep-learning-based-natural-language-processing
/arxiv/13688/neural-machine-translation-for-low-resource-languages
/arxiv/13233/recent-trends-in-deep-learning-based-natural-language-processing
/arxiv/13118/recent-trends-in-deep-learning-based-natural-language-processing
/arxiv/13698/a-batch-noise-contrastive-estimation-approach-for-training-large-vocabulary-language-models

Possible email addresses for deeplearn.org

info@deeplearn.org
email@deeplearn.org
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contact@deeplearn.org
admin@deeplearn.org
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hostmaster@deeplearn.org
domain@deeplearn.org
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Possible Domain Typos

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