Neural Turing Machines
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The Neural Turing Machine is a neural network architecture inspired by biological working memory and digital computers that is differentiable end-to-end and can be trained with gradient descent. Experiments showed it is capable of learning simple algorithms from example data and generalizing well outside its training data.
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Neural Turing Machines
This is a brief summary of the paper
"Neural Turing Machines"
written by
A. Graves
G. Wayne
I. Danihelka
Google DeepMind, London UK
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The document discusses relational knowledge distillation (RKD), a technique for transferring knowledge from a teacher model to a student model. It begins by providing background on knowledge distillation and recent approaches. It then introduces RKD, which transfers relational information between examples in the teacher's embedding space, such as distances and angles, rather than just individual example outputs. The document describes experiments applying RKD to metric learning, image classification, and few-shot learning, finding it improves student model performance over other distillation methods. It concludes RKD effectively leverages relational information to transfer knowledge between models.
Statistical Semantic入門 ~分布仮説からword2vecまで~
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Neural Turing Machines
This is a brief summary of the paper
"Neural Turing Machines"
written by
A. Graves
G. Wayne
I. Danihelka
Google DeepMind, London UK
L'impact des incriments des séquences de tri Shell. Expérimentation des séque...
L'impact des incriments des séquences de tri Shell. Expérimentation des séque...Soumia Elyakote HERMA
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Le TP expérimente des séquences du tri de Shell utilisé depuis la séquence introduit par Shell 1959 arrivant au l’implémentation supposé par Sedgewick 1956, Pour remarqué l’impact de chaque séquence en choisissant les quatres (4) séquences : 01) Shell : 1, 2, 4, 8, 16, 32,….. 02) Hibbard : 1, 3, 7, 15, 32,….. 03) Knuth : 1, 4, 13, 40, 121,….. 04) Sedgewick : 1, 5, 19, 41, 109, 209, 505, 929,….[DL輪読会]Generative Models of Visually Grounded Imagination
The document proposes a new model for visually grounded semantic imagination that can generate images from linguistic descriptions of concepts specified by attributes. The model uses a variational autoencoder with three inference networks to handle images, attributes, and missing modalities. It represents the attribute inference distribution as the product of expert Gaussians, allowing generation of concepts not seen during training by combining learned attributes. The paper introduces three criteria for evaluating such models: correctness, coverage, and compositionality.
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Shwartz-Ziv, Ravid, and Amitai Armon. "Tabular Data: Deep Learning is Not All You Need." arXiv preprint arXiv:2106.03253 (2021).
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チラ見版から前ページ公開版に切り替えました。
また、最新版で導入された plugin についても追記しました。
2017/07/30
r1.3のコードを反映しました。
2017/08/04
r1.3のpluginのコード、動かすことに成功しました。
"device:XLA_EXEC:0" で、StreamExecutorが起動するところまで実行できました。
2017/08/07
2017/08/04に対して、10頁追加しました。
とりあえず、r1.3に対しては、これにて終了です。
なぜGPUはディープラーニングに向いているか
2015年8月19日 ディープラーニングセミナー2015
名古屋ルーセントタワー
エヌビディア合同会社 シニアデベロッパーテクノロジー エンジニア 成瀬彰
[概要]
本講演では、モルフォが取り組むDeep Learning（以下、DL）ビジネスについての概要と、実用化に 向けてディープラーニングではGPU利用がデファクトになっていますが、GPUを使うとなぜディープラーニングの学習フェーズを加速できるのか、その技術的な背景・理由を説明するとともに、エヌビディアのディープラーニング関連ソフトウェアの最新情報を紹介致します。
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The document summarizes a research paper that investigated the impact of label errors in test sets on machine learning benchmarks. Some key points:
1. The researchers estimated label error rates in 10 popular datasets, finding an average of 3.6% errors. They corrected labels in CIFAR10 and ImageNet.
2. Experiments showed that while test label errors did not change the relative performance of models on the full test set, models could achieve higher accuracy on the errors compared to corrected labels.
3. This suggests models may overfit to common label errors in both train and test sets, undermining the reliability of benchmarks in selecting the best model. The importance of ensuring test label accuracy is emphasized.
OSS強化学習フレームワークの比較
グリー開発本部 Meetup #2 ゲーム x 強化学習エンジニアリングで発表された資料です。
https://gree.connpass.com/event/112599/
#GDMeetup
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논문의 자세한 리뷰부터, 백그라운드 지식까지, 자연어처리팀 진명훈님이 도와주셨습니다.
Vivado hls勉強会1（基礎編）
Vivado HLS勉強会資料の最初です。
掛け算回路をC言語で書いてVivado HLSでIPにします。そのIPをVivadoでZYBO用にインプリメントして、スイッチとLEDを使って動作させます。
Vivado HLSを使う時の初めの1歩として、いかがでしょうか？
AlexNet
AlexNet achieved unprecedented results on the ImageNet dataset by using a deep convolutional neural network with over 60 million parameters. It achieved top-1 and top-5 error rates of 37.5% and 17.0%, significantly outperforming previous methods. The network architecture included 5 convolutional layers, some with max pooling, and 3 fully-connected layers. Key aspects were the use of ReLU activations for faster training, dropout to reduce overfitting, and parallelizing computations across two GPUs. This dramatic improvement demonstrated the potential of deep learning for computer vision tasks.
表形式データで高性能な予測モデルを構築する「DNNとXGBoostのアンサンブル学習」
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DNNとXGBoostの両方を用いたアンサンブル学習が良い性能が出たという実験結果などを紹介します。
Shwartz-Ziv, Ravid, and Amitai Armon. "Tabular Data: Deep Learning is Not All You Need." arXiv preprint arXiv:2106.03253 (2021).
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cvpaper.challengeはコンピュータビジョン分野の今を映し、トレンドを創り出す挑戦です。論文サマリ作成・アイディア考案・議論・実装・論文投稿に取り組み、凡ゆる知識を共有します。
http://xpaperchallenge.org/cv/
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The Brain and the Modern AI: Drastic Differences and Curious Similarities
The Brain and the Modern AI: Drastic Differences and Curious Similarities
Introduction to Machine Learning @ Mooncascade ML Camp
Introduction to Machine Learning @ Mooncascade ML Camp
Mastering the game of Go with deep neural networks and tree search (article o...
Mastering the game of Go with deep neural networks and tree search (article o...
Paper overview: "Deep Residual Learning for Image Recognition"
Paper overview: "Deep Residual Learning for Image Recognition"
Deep Learning: Theory, History, State of the Art & Practical Tools
Deep Learning: Theory, History, State of the Art & Practical Tools
Article overview: Unsupervised Learning of Visual Structure Using Predictive ...
Article overview: Unsupervised Learning of Visual Structure Using Predictive ...
Article overview: Deep Neural Networks Reveal a Gradient in the Complexity of...
Article overview: Deep Neural Networks Reveal a Gradient in the Complexity of...
NIPS2014 Article Overview: Do Deep Nets Really Need to be Deep?
NIPS2014 Article Overview: Do Deep Nets Really Need to be Deep?
Article Overview "Reach and grasp by people with tetraplegia using a neurally...
Article Overview "Reach and grasp by people with tetraplegia using a neurally...
Soft Introduction to Brain-Computer Interfaces and Machine Learning
Soft Introduction to Brain-Computer Interfaces and Machine Learning
Ilya Kuzovkin - Adaptive Interactive Learning for Brain-Computer Interfaces
Ilya Kuzovkin - Adaptive Interactive Learning for Brain-Computer Interfaces
Recently uploaded
Compexometric titration/Chelatorphy titration/chelating titration
Classification
Metal ion ion indicators
Masking and demasking reagents
Estimation of Magnisium sulphate
Calcium gluconate
Complexometric Titration/ chelatometry titration/chelating titration, introduction, Types-
1.Direct Titration
2.Back Titration
3.Replacement Titration
4.Indirect Titration
Masking agent, Demasking agents
formation of complex
comparition between masking and demasking agents,
Indicators/Metal ion indicators/ Metallochromic indicators/pM indicators,
Visual Technique,PM indicators (metallochromic), Indicators of pH, Redox Indicators
Instrumental Techniques-Photometry
Potentiometry
Miscellaneous methods.
Complex titration with EDTA.
快速办理(UAM毕业证书)马德里自治大学毕业证学位证一模一样
学校原件一模一样【微信：741003700 】《(UAM毕业证书)马德里自治大学毕业证学位证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
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Gadgets for management of stored product pests_Dr.UPR.pdf
Insectsplayamajorroleinthedeteriorationoffoodgrainscausingbothquantitativeandqualitativelosses
Wellprovedthatnogranariescanbefilledwithgrainswithoutinsectsastheharvestedproducecontainegg(or)larvae(or)pupae(or)adultinsectinthembecauseoffieldcarryoverinfestationwhichcannotbeavoidedindevelopingcountrieslikeIndia
Simpletechnologiesfortimelydetectionofinsectsinthestoredproduceandtherebyplantimelycontrolmeasures
Randomised Optimisation Algorithms in DAPHNE
Slides from talk:
Aleš Zamuda: Randomised Optimisation Algorithms in DAPHNE .
Austrian-Slovenian HPC Meeting 2024 – ASHPC24, Seeblickhotel Grundlsee in Austria, 10–13 June 2024
https://ashpc.eu/
Evidence of Jet Activity from the Secondary Black Hole in the OJ 287 Binary S...
Wereport the study of a huge optical intraday flare on 2021 November 12 at 2 a.m. UT in the blazar OJ287. In the binary black hole model, it is associated with an impact of the secondary black hole on the accretion disk of the primary. Our multifrequency observing campaign was set up to search for such a signature of the impact based on a prediction made 8 yr earlier. The first I-band results of the flare have already been reported by Kishore et al. (2024). Here we combine these data with our monitoring in the R-band. There is a big change in the R–I spectral index by 1.0 ±0.1 between the normal background and the flare, suggesting a new component of radiation. The polarization variation during the rise of the flare suggests the same. The limits on the source size place it most reasonably in the jet of the secondary BH. We then ask why we have not seen this phenomenon before. We show that OJ287 was never before observed with sufficient sensitivity on the night when the flare should have happened according to the binary model. We also study the probability that this flare is just an oversized example of intraday variability using the Krakow data set of intense monitoring between 2015 and 2023. We find that the occurrence of a flare of this size and rapidity is unlikely. In machine-readable Tables 1 and 2, we give the full orbit-linked historical light curve of OJ287 as well as the dense monitoring sample of Krakow.
Discovery of An Apparent Red, High-Velocity Type Ia Supernova at 𝐳 = 2.9 wi...
We present the JWST discovery of SN 2023adsy, a transient object located in a host galaxy JADES-GS
+
53.13485
−
27.82088
with a host spectroscopic redshift of
2.903
±
0.007
. The transient was identified in deep James Webb Space Telescope (JWST)/NIRCam imaging from the JWST Advanced Deep Extragalactic Survey (JADES) program. Photometric and spectroscopic followup with NIRCam and NIRSpec, respectively, confirm the redshift and yield UV-NIR light-curve, NIR color, and spectroscopic information all consistent with a Type Ia classification. Despite its classification as a likely SN Ia, SN 2023adsy is both fairly red (
�
(
�
−
�
)
∼
0.9
) despite a host galaxy with low-extinction and has a high Ca II velocity (
19
,
000
±
2
,
000
km/s) compared to the general population of SNe Ia. While these characteristics are consistent with some Ca-rich SNe Ia, particularly SN 2016hnk, SN 2023adsy is intrinsically brighter than the low-
�
Ca-rich population. Although such an object is too red for any low-
�
cosmological sample, we apply a fiducial standardization approach to SN 2023adsy and find that the SN 2023adsy luminosity distance measurement is in excellent agreement (
≲
1
�
) with
Λ
CDM. Therefore unlike low-
�
Ca-rich SNe Ia, SN 2023adsy is standardizable and gives no indication that SN Ia standardized luminosities change significantly with redshift. A larger sample of distant SNe Ia is required to determine if SN Ia population characteristics at high-
�
truly diverge from their low-
�
counterparts, and to confirm that standardized luminosities nevertheless remain constant with redshift.
Applied Science: Thermodynamics, Laws & Methodology.pdf
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
Authoring a personal GPT for your research and practice: How we created the Q...
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
fermented food science of sauerkraut.pptx
This ppt contains the production of a fermented food name - sauerkraut
HUMAN EYE By-R.M Class 10 phy best digital notes.pdf
Class 10 human eye notes physics
Handwritten best quality
The cost of acquiring information by natural selection
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
Immersive Learning That Works: Research Grounding and Paths Forward
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...
By harnessing the power of High Flux Vacuum Membrane Distillation, Travis Hills from MN envisions a future where clean and safe drinking water is accessible to all, regardless of geographical location or economic status.
CLASS 12th CHEMISTRY SOLID STATE ppt (Animated)
Description:
Dive into the fascinating realm of solid-state physics with our meticulously crafted online PowerPoint presentation. This immersive educational resource offers a comprehensive exploration of the fundamental concepts, theories, and applications within the realm of solid-state physics.
From crystalline structures to semiconductor devices, this presentation delves into the intricate principles governing the behavior of solids, providing clear explanations and illustrative examples to enhance understanding. Whether you're a student delving into the subject for the first time or a seasoned researcher seeking to deepen your knowledge, our presentation offers valuable insights and in-depth analyses to cater to various levels of expertise.
Key topics covered include:
Crystal Structures: Unravel the mysteries of crystalline arrangements and their significance in determining material properties.
Band Theory: Explore the electronic band structure of solids and understand how it influences their conductive properties.
Semiconductor Physics: Delve into the behavior of semiconductors, including doping, carrier transport, and device applications.
Magnetic Properties: Investigate the magnetic behavior of solids, including ferromagnetism, antiferromagnetism, and ferrimagnetism.
Optical Properties: Examine the interaction of light with solids, including absorption, reflection, and transmission phenomena.
With visually engaging slides, informative content, and interactive elements, our online PowerPoint presentation serves as a valuable resource for students, educators, and enthusiasts alike, facilitating a deeper understanding of the captivating world of solid-state physics. Explore the intricacies of solid-state materials and unlock the secrets behind their remarkable properties with our comprehensive presentation.
Candidate young stellar objects in the S-cluster: Kinematic analysis of a sub...
Context. The observation of several L-band emission sources in the S cluster has led to a rich discussion of their nature. However, a definitive answer to the classification of the dusty objects requires an explanation for the detection of compact Doppler-shifted Brγ emission. The ionized hydrogen in combination with the observation of mid-infrared L-band continuum emission suggests that most of these sources are embedded in a dusty envelope. These embedded sources are part of the S-cluster, and their relationship to the S-stars is still under debate. To date, the question of the origin of these two populations has been vague, although all explanations favor migration processes for the individual cluster members. Aims. This work revisits the S-cluster and its dusty members orbiting the supermassive black hole SgrA* on bound Keplerian orbits from a kinematic perspective. The aim is to explore the Keplerian parameters for patterns that might imply a nonrandom distribution of the sample. Additionally, various analytical aspects are considered to address the nature of the dusty sources. Methods. Based on the photometric analysis, we estimated the individual H−K and K−L colors for the source sample and compared the results to known cluster members. The classification revealed a noticeable contrast between the S-stars and the dusty sources. To fit the flux-density distribution, we utilized the radiative transfer code HYPERION and implemented a young stellar object Class I model. We obtained the position angle from the Keplerian fit results; additionally, we analyzed the distribution of the inclinations and the longitudes of the ascending node. Results. The colors of the dusty sources suggest a stellar nature consistent with the spectral energy distribution in the near and midinfrared domains. Furthermore, the evaporation timescales of dusty and gaseous clumps in the vicinity of SgrA* are much shorter ( 2yr) than the epochs covered by the observations (≈15yr). In addition to the strong evidence for the stellar classification of the D-sources, we also find a clear disk-like pattern following the arrangements of S-stars proposed in the literature. Furthermore, we find a global intrinsic inclination for all dusty sources of 60 ± 20◦, implying a common formation process. Conclusions. The pattern of the dusty sources manifested in the distribution of the position angles, inclinations, and longitudes of the ascending node strongly suggests two different scenarios: the main-sequence stars and the dusty stellar S-cluster sources share a common formation history or migrated with a similar formation channel in the vicinity of SgrA*. Alternatively, the gravitational influence of SgrA* in combination with a massive perturber, such as a putative intermediate mass black hole in the IRS 13 cluster, forces the dusty objects and S-stars to follow a particular orbital arrangement. Key words. stars: black holes– stars: formation– Galaxy: center– galaxies: star formation
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Compexometric titration/Chelatorphy titration/chelating titration
Compexometric titration/Chelatorphy titration/chelating titration
Gadgets for management of stored product pests_Dr.UPR.pdf
Gadgets for management of stored product pests_Dr.UPR.pdf
Evidence of Jet Activity from the Secondary Black Hole in the OJ 287 Binary S...
Evidence of Jet Activity from the Secondary Black Hole in the OJ 287 Binary S...
Discovery of An Apparent Red, High-Velocity Type Ia Supernova at 𝐳 = 2.9 wi...
Discovery of An Apparent Red, High-Velocity Type Ia Supernova at 𝐳 = 2.9 wi...
Applied Science: Thermodynamics, Laws & Methodology.pdf
Applied Science: Thermodynamics, Laws & Methodology.pdf
Authoring a personal GPT for your research and practice: How we created the Q...
Authoring a personal GPT for your research and practice: How we created the Q...
GBSN - Biochemistry (Unit 6) Chemistry of Proteins
GBSN - Biochemistry (Unit 6) Chemistry of Proteins
Microbiology of Central Nervous System INFECTIONS.pdf
Microbiology of Central Nervous System INFECTIONS.pdf
HUMAN EYE By-R.M Class 10 phy best digital notes.pdf
HUMAN EYE By-R.M Class 10 phy best digital notes.pdf
The cost of acquiring information by natural selection
The cost of acquiring information by natural selection
Immersive Learning That Works: Research Grounding and Paths Forward
Immersive Learning That Works: Research Grounding and Paths Forward
Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...
Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...
Candidate young stellar objects in the S-cluster: Kinematic analysis of a sub...
Candidate young stellar objects in the S-cluster: Kinematic analysis of a sub...
Neural Turing Machines
- 2. We have introduced the Neural Turing Machine, a neural network architecture that takes inspiration from both models of biological working memory and the design of digital computers. Like conventional neural networks, the architecture is differentiable end-to-end and can be trained with gradient descent. Our experiments demonstrate that it is capable of learning simple algorithms from example data and of using these algorithms to generalise well outside its training regime."