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Deeplearning4j

Deeplearning4j is a deep learning programming library written for Java and the Java virtual machine (JVM) and a computing framework with wide support… 
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Related topics

Related topics

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AndroidApache HadoopApache SparkApplication programming interface

Broader (4)

Image processingMachine learningNatural language processingScala

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Scientific scripting in Java with JShellLab and application to deep learning using DeepLearning4j
JShellLab is an easy to use MATLAB-like environment for the Java Virtual Machine (JVM). It implements scientific scripting based… 
2019
2019
A Scalable and Distributed Actor-Based Version of the Node2Vec Algorithm
The analysis of systems that can be modeled as networks of interacting entities is becoming often more important in different… 
Review
2018
Review
2018
DeepTC – An Extension of DKPro Text Classification for Fostering Reproducibility of Deep Learning Experiments
We present a deep learning extension for the multi-purpose text classification framework DKPro Text Classification (DKPro TC… 
2018
2018
Deep Learning in Classifying Sleep Stages
This paper presents a deep feed-forward neural network classifier to automatically classify the stages of sleep using raw data… 
2017
2017
User Environment Detection with Acoustic Sensors Embedded on Mobile Devices for the Recognition of Activities of Daily Living
The detection of the environment where user is located, is of extreme use for the identification of Activities of Daily Living… 
2017
2017
Data Fusion on Motion and Magnetic Sensors embedded on Mobile Devices for the Identification of Activities of Daily Living
Several types of sensors have been available in off-the-shelf mobile devices, including motion, magnetic, vision, acoustic, and… 
2017
2017
A Multiple Source Framework for the Identification of Activities of Daily Living Based on Mobile Device Data
Most mobile devices include motion, magnetic, acoustic, and location sensors. They allow the implementation of a framework for… 
2017
2017
An Exploration of Approaches to Integrating Neural Reranking Models in Multi-Stage Ranking Architectures
We explore different approaches to integrating a simple convolutional neural network (CNN) with the Lucene search engine in a… 
2016
2016
Deep Learning vs. traditional Machine Learning algorithms used in Credit Card Fraud Detection
With the continuing growth of E-commerce, credit card fraud has evolved exponentially, where people are using more on-line… 
Review
2016
Review
2016
Software Frameworks for Deep Learning at Scale
The study and adoption of deep learning methods has led to significant progress in different application domains. As deep… 
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