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TensorFlow and Deep Learning Malaysia Meetup

Home / EVENTS

TensorFlow and Deep Learning Malaysia Meetup

Join two hours session with 2 speakers topics related to machine learning and deep learning.Learn and implement how real-life data machine learning/deep learning can be applied to solving commercial problems.Agenda of the event :TimeActivity6.00 PMRegistration7.00 PMOpening Remarks7.15 PMWelcoming address7.20 PMSession 1 "Build your first Android Image Classifier with Tensorflow"8.00 PMBreak & Networking Session8.10 PMSession 2 "Convolutional Neural Network Architectures"8.50 PMBreak & Networking Session9.00 PMEndEvent Description:Build your first Android Image Classifier with TensorflowTensorFlow is an open source software library for machine learning, developed by Google and currently used in many of their projects. In this talk, participants will learn an easy, fast, and fun way to get started with TensorFlow by building an Android image classifier: an offline and simplified alternative to Google’s Cloud Vision API where Android device can detect and recognize objects from an image.Convolutional Neural Network ArchitecturesComputer Vision has been applied to many applications, such as search, image understanding, mapping, medicine, drones, and self-driving cars. The Core to many of these applications is visual recognition tasks such as image classification, localization, and detection. Recent advancement in neural network (aka “deep learning”) has greatly increased the performance of the state-of-the-art visual recognition systems which makes them more practical and ready-to-use in industry.This talk is an introduction to convolutional neural network and its applications to computer vision, particularly image classification. Moreover, the talk will cover the basic building blocks of deep convolutional neural networks such as Max-Pooling and Dropout. And then briefly explain the major architecture such as DenseNet, Dual-Path and Squeeze and Excitation networks. The talk will end with a simple demonstration of applying deep learning using Keras library.Who should join us? Startups Machine learning Deep Learning Developers Community Innovators Professionals Business Students

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Home / EVENTS

TensorFlow and Deep Learning Malaysia Meetup

Mar 14, 2018 12:00 AM

-

12:00 am

MaGIC (Malaysian Global Innovation & Creativity Centre)

is FREE

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Join two hours session with 2 speakers topics related to machine learning and deep learning.Learn and implement how real-life data machine learning/deep learning can be applied to solving commercial problems.Agenda of the event :TimeActivity6.00 PMRegistration7.00 PMOpening Remarks7.15 PMWelcoming address7.20 PMSession 1 "Build your first Android Image Classifier with Tensorflow"8.00 PMBreak & Networking Session8.10 PMSession 2 "Convolutional Neural Network Architectures"8.50 PMBreak & Networking Session9.00 PMEndEvent Description:Build your first Android Image Classifier with TensorflowTensorFlow is an open source software library for machine learning, developed by Google and currently used in many of their projects. In this talk, participants will learn an easy, fast, and fun way to get started with TensorFlow by building an Android image classifier: an offline and simplified alternative to Google’s Cloud Vision API where Android device can detect and recognize objects from an image.Convolutional Neural Network ArchitecturesComputer Vision has been applied to many applications, such as search, image understanding, mapping, medicine, drones, and self-driving cars. The Core to many of these applications is visual recognition tasks such as image classification, localization, and detection. Recent advancement in neural network (aka “deep learning”) has greatly increased the performance of the state-of-the-art visual recognition systems which makes them more practical and ready-to-use in industry.This talk is an introduction to convolutional neural network and its applications to computer vision, particularly image classification. Moreover, the talk will cover the basic building blocks of deep convolutional neural networks such as Max-Pooling and Dropout. And then briefly explain the major architecture such as DenseNet, Dual-Path and Squeeze and Excitation networks. The talk will end with a simple demonstration of applying deep learning using Keras library.Who should join us? Startups Machine learning Deep Learning Developers Community Innovators Professionals Business Students

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