deep learning platform


Deep Learning is an continuously-growing, popular part of a broader family of machine learning methods, based on data representations. As a relatively new concept, the vast amount of resources can be a touch overwhelming for those either looking to get into the field, or those already engraved in it. A good way of staying updated with the latest trends is to interact with the community by engaging and interacting with the deep learning open source projects that are currently available.

PaddlePaddle (PArallel Distributed Deep LEarning) is an easy-to-use, efficient, flexible and scalable deep learning platform, which is originally developed by Baidu scientists and engineers for the purpose of applying deep learning to many products at Baidu.

TensorFlow

Minerva: A scalable and highly efficient training platform for deep learning
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The tooling landscape of deep learning is fragmented by a growing gap between the generic and productivity-oriented tools that optimize for algorithm development and the task- specific ones that optimize for speed and scale. This creates an artificial barrier to bring new

Deepsec: A uniform platform for security analysis of deep learning model
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Deep learning (DL) models are inherently vulnerable to adversarial examples maliciously crafted inputs to trigger target DL models to misbehave which significantly hinders the application of DL in security-sensitive domains. Intensive research on adversarial learning

A deep learning platform for diabetes big data analysis
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1Centre for Bio-Inspired Technologies, Institute of Biomedical Engineering, Imperial College London, UK 2Data Science Institute, Imperial College London, UK Deep learning has been proven to achieve stateof-art performance in modelling complex behaviour and the

Design on Distributed Deep Learning Platform with Big Data
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In this paper, we design a distributed deep learning platform for model to predict typhoon track by analyzing typhoon satellite images. Recently, research on big data distribution processing and deep learning platform is actively being carried out. As the demand for deep

Construction of College Students Learning Platform with Deep Learning under the Learning Science
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With the deepening of learning research, people gradually realize that the deep learning to adapt the current era is an important and effective learning methods and learning concept. Especially under the background of information, how to realize the depth of learning under

Using high-performance deep learning platform to accelerate object detection
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Object classification with use of neural networks is extremely current today. YOLO is one of the most often used frameworks for object classification. It produces high accuracy but the processing speed is not high enough especially in conditions of limited performance of a

Design of Deep Learning based fruit classification system platform
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Recent developments in artificial intelligence technology have shown good results in various fields. This paper aims to construct and introduce a new platform for classifying fruits applicable to small scale farmers based on Deep Learning . We used Googles open source

HeartFit: An Accurate Platform for Heart Murmur Screening Utilizing Deep Learning
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Cardiovascular disease (CD) is the number one leading cause of death worldwide, accounting for more than 17 million deaths in 2015. Critical indicators of CD include heart murmurs, intense sounds emitted by the heart during periods of irregular blood flow. Current

Recommending social platform content using deep learning
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In this thesis a model based on artificial neural networks, seeing how they have found successes in a variety of fields in recent years, is proposed as an alternative to existing recommender systems. A recurrent neural network model is built for recommending content

Personal Big Data Computing Platform for Deep Learning : Implementation and Performance Benchmark
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Computing Platform which integrates Hadoop, Spark and HBase in a virtual machine environment as well as in a physical multi-node cluster to provide users for education uses or practical engineering applications. To illustrate the capability and applicability of theMachine learning and deep learning technologies have impacted the world in profound ways, from how we interact with technological products and with one another. These technologies are disrupting how we relate, how we work, and how we engage life in

Poster: A critique of the DEEPSEC Platform for Security Analysis of Deep Learning Models
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At this conference, the paper DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model aims to to systematically evaluate the existing adversarial attack and defense methods. While the papers goals are laudable, it fails to achieve them and

Deep Learning Based Urban Analytics Platform : Applications to Traffic Flow Modeling and Prediction
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Cities have become more networked and wired, thus generating unprecedented amounts of operational and behavioral data. For instance, a citys traffic is instrumented by online mapping services (Google maps) in conjunction with crowd-sourcing (Waze). In this work

Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with IntelR O FPGAs
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AI and deep learning are experiencing explosive growth in almost every domain involving analysis of big data. Deep learning using Deep Neural Networks (DNNs) has shown great promise for such scientific data analysis applications. However, traditional CPU-based

AquaSight: A Novel Platform for Accessible Water Quality Analysis Utilizing Computer Vision and Deep Learning
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In order to address the issue of increasing levels of water pollution and ensure that the worlds growing population can find safe drinking water, we propose a novel application of deep learning for the purpose of mobile and accessible image-based analysis of water

Comparison Between Bare-metal, Container and VM using Tensorflow Image Classification Benchmarks for Deep Learning Cloud Platform .
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The recent success of AI is contributed by the adaptation of using deep learning in decision making process. To harness the power of deep learning , developers must not only rely on a computing framework, but a cloud platform to ensure resource utilization and computing

Ship Detection in Satellite Images With Deep Learning and a Pythonic Interface on a Hadoop HDFS Platform
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Big Data terminology indicates the massive or complex sets of data, in comparison with conventional small datasets, in a way that trditional processing operations are inefficient to manage them. Big Data ecosystems help making more accurate analysis, higher quality

A Deep Learning Part-diagnosis Platform (DLPP) based on an In-vehicle On-board gateway for an Autonomous Vehicle
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Autonomous driving technology is divided into 0~ 5 levels. Of these, Level 5 is a fully autonomous vehicle that does not require a person to drive at all. The automobile industry has been trying to develop Level 5 to satisfy safety, but commercialization has not yet been

Dimension Reduction using Deep Learning : The project focuses on implementing deep learning algorithms on the state of the art Nvidia Drive PX GPU platform
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As the quality of the data increases so will the time needed to process the data and increased space needed to store it. One way to counteract this, is to save the most significant features from the given data, thus reducing the size. This in return will help reduce time to

Implementation of Multi Channel Network Platform based Augmented Reality Facial Emotion Sticker using Deep Learning
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Recently, a variety of contents services over the internet are becoming popular, among which MCN (Multi Channel Network) platform services have become popular with the generalization of smart phones. The MCN platform is based on streaming, and various


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