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# pdf deep learning applications and frameworks

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Deep Learning » Deep Learning: Methods and Applications provides an overview of general… students with an interest in deep learning methodology and its applications in signal and……architecture using the unified learning framework initially published. Microsoft.com

Machine Learning Frameworks » General machine learning frameworks. • Goal: make a wide range of ML workloads and applications easy for users. • General big data processing frameworks. Cs.cornell.edu

(PDF) Deep Learning Applications and Frameworks » Dec 26, 2018… PDF | a collection of various application of deep learning and the most common frame works. Researchgate.net

ChainerMN: Scalable Distributed Deep Learning Framework » calculation. We introduce ChainerMN, an add-on package to Chainer [12], a programming framework for deep learning applications written in Python, to provide ... Learningsys.org

[PDF] Comparative Study of Deep Learning Software Frameworks… » Deep learning methods have resulted in significant performance improvements in several application domains and as such several software frameworks have ... Semanticscholar.org

Preparing and Architecting for Machine Learning » Jan 17, 2017… on learning method, learning application and need for automation.… an ML platform that supports and interoperates with multiple ML frameworks when the……resulting in a slow, inconsistent and largely manual process for ... Gartner.com

Chameleon: A Hybrid Secure Computation Framework for Machine… » Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications. M. Sadegh Riazi. UC San Diego [email protected]. Christian ... Eprint.iacr.org

Whitepapers – Amazon Web Services (AWS) » Outlines a strategy for migrating Linux-based applications that require Network… Best practices for executing machine learning workflows at scale on AWS, with an… An Overview of the AWS Cloud Adoption Framework (February 2017) PDF. Aws.amazon.com

BigDL: A Distributed Deep Learning Framework for Big Data » to write their deep learning applications as standard Spark programs (running… architecture beyond existing deep learning frameworks (e.g., Caffe [1], Torch [2],  ... Arxiv.org

Ray: A Distributed Framework for Emerging AI Applications » Oct 10, 2018… several challenging reinforcement learning applications. 1 Introduction. Over the… Distributed deep-learning frameworks such as TensorFlow ... Usenix.org

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