CSIR Sponsored One Day National Level Seminar on Deep Learning Techniques in Health Care Applications
CSIR Sponsored One Day National Level Seminar on Deep Learning Techniques in Health Care Applications
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TOPICS COVERED
 Introduction to Deep Networks and Convolutional Neural Networks
 Auto encoders and its Applications
 Deep Learning Toolbox (Tensorflow)
 Recurrent Neural Networks and Sequence Modelling
 Deep Learning Tool Box (Keras) Installation and creation
 Deep Learning for Medical Image Processing
 Introduction to Deep Networks and Convolutional Neural Networks
 Auto encoders and its Applications
 Deep Learning Toolbox (Tensorflow)
 Recurrent Neural Networks and Sequence Modelling
 Deep Learning Tool Box (Keras) Installation and creation
 Deep Learning for Medical Image Processing
key details
date: 2019-08-28 to 2019-08-28
venue: HINDUSTHAN INSTITUTE OF TECHNOLOGY
Othakkalmandapam, Coimbatore – Tamil Nadu - 66119
66119
Othakkalmandapam, Coimbatore – Tamil Nadu - 66119
66119
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category: Event
type: Seminar
genre: General
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registration: registration
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person: Associate Professor Department of ECE Hindusthan Institute of Technology Coimbatore - 641 032.: Mr.K.Mahendrakan (#9976064001 / 9629183233, [email protected])
Associate Professor Department of ECE Hindusthan Institute of Technology Coimbatore - 641 032.: Mr.K.Mahendrakan (#9976064001 / 9629183233, [email protected] )
Associate Professor Department of ECE Hindusthan Institute of Technology Coimbatore - 641 032.: Mr.K.Mahendrakan (#9976064001 / 9629183233, [email protected] )
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base name: CSIR Sponsored One Day National Level Seminar on Deep Learning Techniques in Health Care A
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registration: Last Dates for Registration:
21.08.2019
Registration Fees :
200 per head.Spot registration available
21.08.2019
Registration Fees :
200 per head.Spot registration available
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accommodation: Accommodation and boarding if required will be provided in the college premises on chargeable basis.
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contests: CSIR Sponsored One Day National Level Seminar on “Deep Learning Techniques in Health Care Applications†28th August 2019
details: Event Updates:
Deep Learning is a branch of machine learning that is based on algorithms for learning multiple levels of representation in order to model complex relationships among data. It is in the intersections among the research areas of neural networks, graphical modeling, optimization, pattern recognition and signal processing. The researchers have demonstrated their success in diverse applications of computer vision, information retrieval and analysis of molecules that may lead to discovery of new drugs. Recently, more workings are coming up in the area of medical image processing and diagnosis due to the advancements in chip processing abilities and algorithms. Deep learning techniques can be applied to enhance intelligent support to command decision-making, AI-enabled data analysis, information processing an Intelligence Annalysis TOPICS COVERED  Introduction to Deep Networks and Convolutional Neural Networks  Auto encoders and its Applications  Deep Learning Toolbox (Tensorflow)  Recurrent Neural Networks and Sequence Modelling  Deep Learning Tool Box (Keras) Installation and creation  Deep Learning for Medical Image Processing
Deep Learning is a branch of machine learning that is based on algorithms for learning multiple levels of representation in order to model complex relationships among data. It is in the intersections among the research areas of neural networks, graphical modeling, optimization, pattern recognition and signal processing. The researchers have demonstrated their success in diverse applications of computer vision, information retrieval and analysis of molecules that may lead to discovery of new drugs. Recently, more workings are coming up in the area of medical image processing and diagnosis due to the advancements in chip processing abilities and algorithms. Deep learning techniques can be applied to enhance intelligent support to command decision-making, AI-enabled data analysis, information processing an Intelligence Annalysis TOPICS COVERED  Introduction to Deep Networks and Convolutional Neural Networks  Auto encoders and its Applications  Deep Learning Toolbox (Tensorflow)  Recurrent Neural Networks and Sequence Modelling  Deep Learning Tool Box (Keras) Installation and creation  Deep Learning for Medical Image Processing
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