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TensorFlow

Known as: DistBelief, Tensor Flow 
TensorFlow is an open source software library for machine learning in various kinds of perceptual and language understanding tasks. It is currently… 
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Related topics

Related topics

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Adversarial machine learningAndroidApplication-specific integrated circuitArtificial intelligence

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
A Frame Work for Classification of Multi Class Medical Data based on Deep Learning and Naive Bayes Classification Model
— From the past decade there has been drastic development and deployment of digital data stored in electronic health record (EHR… 
2018
2018
Fusarium Damaged Kernels Detection Using Transfer Learning on Deep Neural Network Architecture
The present work shows the application of transfer learning for a pre-trained deep neural network (DNN), using a small image… 
2018
2018
Leaf Recognition with Deep Learning and Keras using GPU computing
Our work is about using Deep Learning for leaf recognition using Keras and GPU computation. We used 17 CNNs of "Kaggle" [1], a… 
2018
2018
Lie Transform--based Neural Networks for Dynamics Simulation and Learning
In the article, we discuss the architecture of the polynomial neural network that corresponds to the matrix representation of Lie… 
2017
2017
User-transparent Distributed TensorFlow
Deep Learning (DL) algorithms have become the {\em de facto} choice for data analysis. Several DL implementations -- primarily… 
2017
2017
When Was it Written ?
We develop a supervised learning algorithm that predicts the publication date of news articles from their content. This study is… 
2017
2017
The Principle of Logit Separation
We consider neural network training, in applications in which there are many possible classes, but at test-time, the task is to… 
2017
2017
A Tale of Two Convergences : Applications and Computing Platforms
There are two important types of convergence that will shape the near term future of computing sciences. The first is the… 
2016
2016
Data driven low-bandwidth intelligent control of a jet engine combustor
Toner, Nathan L. Ph.D., Purdue University, August 2016. Data Driven Low-Bandwidth Intelligent Control of a Jet Engine Combustor… 
2016
2016
Incremental Sequence Learning
Deep learning research over the past years has shown that by increasing the scope or difficulty of the learning problem over time… 
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