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      Fundamentals of Deep Learning for Computer Vision in Singapore


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      May 23, 2019

      Thursday   8:45 AM

      79 Ayer Rajah Crescent
      Singapore, Singapore

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      EVENT DETAILS
      Fundamentals of Deep Learning for Computer Vision

      Overview Learn about the basics of Deep Learning and the latest technologies available in this one-day workshop. Suitable for beginners with no / minimal coding experience. Led by experienced instructors, you can expect to learn the latest deep learning techniques for designing and deploying neural network-powered machine learning across a variety of application domains. In the course, participants will learn to: Implement common deep learning workflows, such as image classification and object detection Experiment with data, training parameters, network structure, and other strategies to increase performance and capability of neural networks Integrate and deploy neural networks in your own applications to start solving sophisticated real-world problems You will work with widely-used deep learning tools, frameworks, and workflows to train and deploy neural network models on a fully-configured, GPU accelerated workstation in the cloud. After a quick introduction to deep learning, you will advance to building and deploying deep learning applications for image classification and object detection, followed by modifying your neural networks to improve their accuracy and performance, and finish by implementing the workflow that you have learned on a final project.  At the end of the workshop, you will have access to additional resources to create new deep learning applications on your own. Click here for more SGInnovate – NVIDIA Training Programmes. Agenda 08:45am – 09:00am: Registration 09:00am – 09:45am: Introduction Introduction to deep learning, situations in which it is useful, key terminology, industry trends and challenges Course Overview Getting Started with Deep Learning  09:45am – 10:00am: Tea Break 10:00am – 12:00pm: Unlocking New Capabilities Hands-on exercise: Training neural networks to perform image classification by harnessing the three main ingredients of Deep Learning: Deep Neural Networks, Big Data and the GPU Biological inspiration for Deep Neural Networks (DNNs) Training DNNs with Big Data 12:00pm – 12:45pm: Lunch 12:45pm – 1:25pm: Unlocking New Capabilities Hands-on exercise: Deployment of trained neural networks from their training environment into real-life applications Deploying DNN Models 1:25pm – 3:05pm: Measuring and Improving Performance Hands-on exercise: neural network performance optimisation and applying DNNs to object detection Optimising DNN Performance Incorporating Object Detection 3:05pm – 3:25pm: Summary Review of concepts and practical takeaways Summary of Key Learnings 3:25pm – 3:40pm: Tea Break 3:40pm – 4:40pm: Assessment Validate your learning by applying the deep learning application development workflow (load dataset, train and deploy model) to a new problem Assessment Project: Train and Deploy a Deep Neural Network 4:40pm – 5:00pm: Next Steps Learn how to set up your GPU-enabled environment to begin work on your own projects. Get additional project ideas along with resources to get started with NVIDIA AMI on the cloud, NVIDIA-docker, and the NVIDIA DIGITS container Workshop survey Setting up your own GPU enabled environment Additional project basis Pricing Regular Ticket: SGD$450 / pax (before GST) 5% Early Bird Discount (ends 23 April 2019) - SGD$427.50 / pax (before GST) 10% Bundle Discount when your purchase together with Fundamentals of Deep Learning for Multiple Data Types Workshop (ends 9 May 2019) - SGD$810 / pax (before GST) 15% Bundle Discount when your purchase together with: Fundamentals of Deep Learning for Multiple Data Types Workshop and Fundamentals of Deep Learning for Natural Language Processing (ends 9 May 2019) - SGD$1,147.50 / pax (before GST) For group discounts or enquiries, please contact learning@sginnovate.com.

      Categories: Science | Technology

      Event details may change at any time, always check with the event organizer when planning to attend this event or purchase tickets.