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          In praise of the autoencoder      Comment   Translate Page      
When you consider all the machine learning (ML) algorithms, you’ll find there is a subset of very pragmatic ones: neural networks. They usually require no statistical hypothesis and no specific data preparation except for normalization. The power of each network lies in its architecture, its activation functions, its regularization terms, plus a few other features. When you consider architectures for neural networks, there is a very versatile one that can serve a variety of purposes -- two in particular: detection of unknown unexpected events and dimensionality reduction of the input space. This neural network is called autoencoder. Architecture of the… [Continue Reading]

          Artificial Neural Networks with Java: Tools for Building Neural Network Applications      Comment   Translate Page      
#source%3Dgooglier%2Ecom#https%3A%2F%2Fgooglier%2Ecom%2Fpage%2F2019_04_14%2F284750\Название: Artificial Neural Networks with Java: Tools for Building Neural Network Applications
Автор: Igor Livshin
Издательство: Apress
Год: 2019
Страниц: 575
Язык: английский
Формат: pdf (true), epub
Размер: 20.9 MB

Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be used in neural network development and suggests various techniques of data preparation for many unconventional tasks. The next big topic discussed in the book is using Java for neural network processing. You will use the Encog Java framework and discover how to do rapid development with Encog, allowing you to create large-scale neural network applications.
           Comment on Develop Your First Neural Network in Python With Keras Step-By-Step by Jason Brownlee       Comment   Translate Page      
No, the 12 refers to the 12 nodes in the first hidden layer, not the input layer. The input layer is defined by a input_dim argument on the first hidden layer. I explain more here: https://machinelearningmastery.com/faq/single-faq/how-do-you-define-the-input-layer-in-keras
          In praise of the autoencoder      Comment   Translate Page      
When you consider all the machine learning (ML) algorithms, you’ll find there is a subset of very pragmatic ones: neural networks. They usually require no statistical hypothesis and no specific data preparation except for normalization. The power of each network lies in its architecture, its activation functions, its regularization terms, plus a few other features. When you consider architectures for neural networks, there is a very versatile one that can serve a variety of purposes -- two in particular: detection of unknown unexpected events and dimensionality reduction of the input space. This neural network is called autoencoder. Architecture of the… [Continue Reading]

          The Handbook Of Brain Theory And Neural Networks: Second Edition      Comment   Translate Page      
Michael A. Arbib / Medicine / 2002
          You Can't Take My Door      Comment   Translate Page      
Botnik Studios trained a neural network to write this song by loading it with country music's greatest hits.



Via
          Scientifique des données/ Data Scientist - CAE INC. - Montréal, QC      Comment   Translate Page      
Knowledge of a variety of machine learning techniques (Random Forests, Support Vector machine, Gradient boosting, artificial neural networks, Bayesian networks,...
From Indeed - Wed, 10 Apr 2019 21:49:14 GMT - View all Montréal, QC jobs
          Principle Data Scientist (Machine Learning Engineer) - FanMetrix inc. - Montréal, QC      Comment   Translate Page      
Artificial Neural Networks, Gradient Boosting, Deep Learning, Clustering Algorithms, Linear Regression, Logistic Regression, Nearest Neighbors, Random Forests,...
From Indeed - Fri, 22 Mar 2019 17:35:26 GMT - View all Montréal, QC jobs
          python-pytorch-cuda 1.0.1-7 x86_64      Comment   Translate Page      
Tensors and Dynamic neural networks in Python with strong GPU acceleration
          python-pytorch 1.0.1-7 x86_64      Comment   Translate Page      
Tensors and Dynamic neural networks in Python with strong GPU acceleration
          Data Scientist - eBay Inc. - Austin, TX      Comment   Translate Page      
GBM, logistic regression, clustering, neural networks, NLP Strong analytical skills with good problem solving ability eBay is a Subsidiary of eBay....
From eBay Inc. - Fri, 05 Apr 2019 08:11:54 GMT - View all Austin, TX jobs
          AIMS-Carnegie Postdoctoral Fellowships in Data Science and its Applications 2019 for African Researchers      Comment   Translate Page      

In partnership with the Carnegie Corporation of New York, the African Institute for Mathematical Sciences (AIMS) is inviting new and recent PhD holders with an interest in Data Science and its related disciplines (such as Mathematics, Statistics, Machine Learning, Quantum Machine Learning, Cluster Analysis, Data Mining, Big data Analytics, Data Visualization, Artificial Intelligence, Neural Networks, […]

After School Africa


          You Can't Take My Door      Comment   Translate Page      



This is what happens when artificial intelligence tries to write a country song. Botnik Studios fed country music lyrics into a neural network to train it, and the algorithm came up with "You Can't Take My Door." This reminds us of something Bad Lip Reading would produce, but it has a catchy tune and is just silly enough to become a hit. I can tell you from experience, that it would be very possible to memorize the lyrics if you heard this enough. -via the Awesomer


          Data Scientist - eBay Inc. - Austin, TX      Comment   Translate Page      
GBM, logistic regression, clustering, neural networks, NLP Strong analytical skills with good problem solving ability eBay is a Subsidiary of eBay....
From eBay Inc. - Fri, 05 Apr 2019 08:11:54 GMT - View all Austin, TX jobs
          You Can't Take My Door      Comment   Translate Page      



This is what happens when artificial intelligence tries to write a country song. Botnik Studios fed country music lyrics into a neural network to train it, and the algorithm came up with "You Can't Take My Door." This reminds us of something Bad Lip Reading would produce, but it has a catchy tune and is just silly enough to become a hit. I can tell you from experience, that it would be very possible to memorize the lyrics if you heard this enough. -via the Awesomer


          Reply to comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts".      Comment   Translate Page      

Reply to comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts".

J Am Med Inform Assoc. 2019 Apr 13;:

Authors: Cocos A, Fiks AG, Masino AJ

Abstract
We appreciate the detailed review provided by Magge et al1 of our article, "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts." 2 In their letter, they present a subjective criticism that rests on concerns about our dataset composition and potential misinterpretation of comparisons to existing methods. Our article underwent two rounds of extensive peer review and has been cited 28 times1 in the nearly 2 years since it was published online (February 2017). Neither the reviewers nor the citing authors raised similar concerns. There are, however, portions of the commentary that highlight areas of our work that would benefit from further clarification.

PMID: 30980667 [PubMed - as supplied by publisher]


          Accelerated Neural Networks on OpenCL Devices Using SYCL-DNN      Comment   Translate Page      
Over the past few years machine learning has seen a renewed explosion of interest, following a number of studies showing the effectiveness of neural networks in a range of tasks which had previously been considered incredibly hard. Neural networks’ effectiveness in the fields of image recognition and natural language processing stems primarily from the vast […]
           Comment on Develop Your First Neural Network in Python With Keras Step-By-Step by Akshaya E       Comment   Translate Page      
thank you for the immediate response. my doubt has been cleared.
           Comment on Ensemble Methods for Deep Learning Neural Networks to Reduce Variance and Improve Performance by July       Comment   Translate Page      
Great summing up of ensemble neural network. Thanks for your work.
          (USA-OR-Hillsboro) Software Developer Engineer - AI      Comment   Translate Page      
**Job Description** We are looking for passionate software developer with leadership skills to join a new startup spirited Artificial Intelligence team with a mission to make newer, bleeding edge AI platforms and services run best on Intel silicon resulting in amazing customer experiences across Retail, Industrial, Smart Home, Personal Assistance, Autonomous Driving, Health and more. You will be leading, designing, enabling and performance tuning machine learning (ML) and Deep Learning (DL) stacks and solutions that enable new use cases, achieve maximum performance, and lowest battery usage on Intel Silicon. The ideal candidate will have a good understanding of state-of-the-art techniques in machine learning and deep learning, performance optimization along with a strong understanding of software design/architecture and operating system development. **Qualifications** You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences. **Minimum Qualifications:** + Candidate must be pursuing a MS or PHD in computer science, computer engineering or equivalent experience. + 6+ months experience or equivalent coursework in the following areas: + Software coding skills in C, C++, C#, Python/R or related language. + Software architecture solutions to solve real world customer problems + Ability to write architecture specifications, whitepapers to communicate solutions, and build executable plans **Preferred Qualifications:** + AI/ML/DL models with deeper knowledge on CNNs, DNNs, LSTM etc. and the respective algorithms + Working knowledge of DL frameworks such as TensorFlow, Caffe or other neural network topologies + Machine learning and data science languages such as Python or R + Familiar with the Intel Python distribution and Intel Math kernel library + Windows and/or Linux software development and architecture + Knowledge and real-world experience with Intel 32-bit IA-32 and 64-bit Instruction Set Architectures and micro-architectures. **Inside this Business Group** The Intel Software and Services Group (SSG) connects Intel to the worldwide software community. SSG strives to bring competitive advantage to Intel platforms by helping independent software vendors, operating system developers, OEMs, channel members and systems integrators deliver exceptional customer value and achieve differentiation on Intel® processor technologies. SSG provides global leadership to the software community through its technical expertise, industry enabling activities, and developer products and programs. **Posting Statement** All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance....
          Data Scientist - eBay Inc. - Austin, TX      Comment   Translate Page      
GBM, logistic regression, clustering, neural networks, NLP Strong analytical skills with good problem solving ability eBay is a Subsidiary of eBay....
From eBay Inc. - Fri, 05 Apr 2019 08:11:54 GMT - View all Austin, TX jobs
          Data Scientist - eBay Inc. - Austin, TX      Comment   Translate Page      
GBM, logistic regression, clustering, neural networks, NLP Strong analytical skills with good problem solving ability eBay is a Subsidiary of eBay....
From eBay Inc. - Fri, 05 Apr 2019 08:11:54 GMT - View all Austin, TX jobs
          Python to PHP neural network      Comment   Translate Page      
hello, I ave codes for both python and php but the python code works perfect but the php code shows some logical issue ,not syntax ,I would like you to figure and fix it ASAP and we complete this session now... (Budget: ₹600 - ₹1500 INR, Jobs: PHP, Python)
          Artificial Neural Networks with Java: Tools for Building Neural Network Applications      Comment   Translate Page      

eBook Details: Paperback: 566 pages Publisher: WOW! eBook; 1st edition (June 13, 2019) Language: English ISBN-10: 1484244206 ISBN-13: 978-1484244203 eBook Description: Artificial Neural Networks with Java: Tools for Building Neural Network Applications Use Java to develop neural network...

The post Artificial Neural Networks with Java: Tools for Building Neural Network Applications appeared first on WOW! eBook.


          metaphor-gm 19.4.14a3      Comment   Translate Page      
Neural network toolbox
          metaphor 19.4.14a3      Comment   Translate Page      
Neural network toolbox
          metaphor-nntoolbox 19.4.14a3      Comment   Translate Page      
Neural network toolbox utilities
          metaphor-gm 19.4.14a2      Comment   Translate Page      
Neural network toolbox
          metaphor 19.4.14a2      Comment   Translate Page      
Neural network toolbox
          metaphor-nntoolbox 19.4.14a2      Comment   Translate Page      
Neural network toolbox utilities
          Data Scientist - eBay Inc. - Austin, TX      Comment   Translate Page      
GBM, logistic regression, clustering, neural networks, NLP Strong analytical skills with good problem solving ability eBay is a Subsidiary of eBay....
From eBay Inc. - Fri, 05 Apr 2019 08:11:54 GMT - View all Austin, TX jobs
          Scientifique des données/ Data Scientist - CAE INC. - Montréal, QC      Comment   Translate Page      
Knowledge of a variety of machine learning techniques (Random Forests, Support Vector machine, Gradient boosting, artificial neural networks, Bayesian networks,...
From Indeed - Wed, 10 Apr 2019 21:49:14 GMT - View all Montréal, QC jobs
          Principle Data Scientist (Machine Learning Engineer) - FanMetrix inc. - Montréal, QC      Comment   Translate Page      
Artificial Neural Networks, Gradient Boosting, Deep Learning, Clustering Algorithms, Linear Regression, Logistic Regression, Nearest Neighbors, Random Forests,...
From Indeed - Fri, 22 Mar 2019 17:35:26 GMT - View all Montréal, QC jobs
          Python to PHP neural network      Comment   Translate Page      
Category: PHP, Python
Budget: ₹600 - ₹1500 INR

hello, I ave codes for both python and php but the python code works perfect but the php code shows some logical issue ,not syntax ,I would like you to figure and fix it ASAP and we complete this session now...
          AI Country      Comment   Translate Page      
the guys at Botnik Studios fed a neural network with a bunch of country music songs then devised an algorithm to see what a country music song generated by artificial intelligence would sound like … . . hhmmm, think that algorithm needs tweaking, guys – the tune was catchy enough but the lyrics need a […]
          Data Scientist - eBay Inc. - Austin, TX      Comment   Translate Page      
GBM, logistic regression, clustering, neural networks, NLP Strong analytical skills with good problem solving ability eBay is a Subsidiary of eBay....
From eBay Inc. - Fri, 05 Apr 2019 08:11:54 GMT - View all Austin, TX jobs
          Can artificial intelligence solve the mysteries of quantum physics?      Comment   Translate Page      
A new study published in Physical Review Letters by Prof. Shashua's computer science doctoral students at Hebrew University has demonstrated mathematically that algorithms based on deep neural networks can be applied to better understand the world of quantum physics, as well.
          Scientifique des données/ Data Scientist - CAE INC. - Montréal, QC      Comment   Translate Page      
Knowledge of a variety of machine learning techniques (Random Forests, Support Vector machine, Gradient boosting, artificial neural networks, Bayesian networks,...
From Indeed - Wed, 10 Apr 2019 21:49:14 GMT - View all Montréal, QC jobs
          Principle Data Scientist (Machine Learning Engineer) - FanMetrix inc. - Montréal, QC      Comment   Translate Page      
Artificial Neural Networks, Gradient Boosting, Deep Learning, Clustering Algorithms, Linear Regression, Logistic Regression, Nearest Neighbors, Random Forests,...
From Indeed - Fri, 22 Mar 2019 17:35:26 GMT - View all Montréal, QC jobs
          The Pain of Research Proposal on Artificial Neural Network      Comment   Translate Page      
As a result of the advancement of numerous technologies human activity nowadays generates a large sum of data. You’re able to choose the aid of experts, to locate unique content. The majority of the well-established tech businesses and now investing … Читать далее →
          Artificial Neural Networks with Java: Tools for Building Neural Network Applications      Comment   Translate Page      

eBook Details: Paperback: 566 pages Publisher: WOW! eBook; 1st edition (June 13, 2019) Language: English ISBN-10: 1484244206 ISBN-13: 978-1484244203 eBook Description: Artificial Neural Networks with Java: Tools for Building Neural Network Applications Use Java to develop neural network...

The post Artificial Neural Networks with Java: Tools for Building Neural Network Applications appeared first on eBookee.


          How to Use Test-Time Augmentation to Improve Model Performance for Image Classification      Comment   Translate Page      

Data augmentation is a technique often used to improve performance and reduce generalization error when training neural network models for computer vision problems. The image data augmentation technique can also be applied when making predictions with a fit model in order to allow the model to make predictions for multiple different versions of each image […]

The post How to Use Test-Time Augmentation to Improve Model Performance for Image Classification appeared first on Machine Learning Mastery.


           Comment on CNN Long Short-Term Memory Networks by Sandipan Banerjee       Comment   Translate Page      
Hi Jason, What neural network model would you suggest for physical problems? For example: Problems related to Fluid Mechanics? Like the one in the video below shows fluid flow around a circle, and after a while it starts to produce vortices. Which NN architecture would be best suited for a problem like this where in we have say data for 50 time-steps, we train the model for 40 of them and we want to predict data for the next 10 time-steps and compare with the actual results. The data would include the velocity, vorticity and other physical parameters along the domain shown in the video in both x and y direction. I tried using ConvLSTM2D in Keras, but the results are not good. LInk of the video of the fluid flow problem I was talking about: https://www.youtube.com/watch?v=JgoHhKiQFKI


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