Instructor-led training available in Malaysia, Singapore, Thailand, Indonesia, and Vietnam.

iTrain Asia partners up with NVIDIA Deep Learning Institute (DLI) to deliver hands-on training for developers, data scientists, and researchers looking to solve the world’s most challenging problems with deep learning – a type of artificial intelligence that enables computers to learn without being explicitly programmed. It also refers to algorithms—step-by-step data-crunching recipes—for teaching machines to see patterns. That gives computers uncanny capabilities to recognize speech—and translate it to another language on the fly. Learn More

Through self-paced online labs and instructor-led workshops, DLI provides training on the latest techniques for designing, training, and deploying neural networks across a variety of application domains. Students will explore widely used open-source frameworks as well as NVIDIA’s latest GPU-accelerated deep learning platforms.

Organizations are using deep learning and AI at every stage of growth, from startups to Fortune 500s. Deep learning, the fastest growing field in AI, is empowering immense progress in all kinds of emerging markets and will be instrumental in ways we haven’t even imagined. Today’s advanced deep neural networks use algorithms, big data, and the computational power of the GPU to change this dynamic. Machines are now able to learn at a speed, accuracy, and scale that are driving true artificial intelligence and AI Computing. Learn the latest techniques on how to design, train, and deploy neural network-powered machine learning in your applications. You’ll explore widely used open-source frameworks and NVIDIA’s latest GPU-accelerated deep learning platforms.

Key Topics:

Day 1

• What is Deep Learning and what are Neural Networks?
• Artificial Neural Networks (ANN) Intuition
• Building an ANN
• Evaluating Performance of an ANN
• Hands-On Exercise: Participants are asked to build the ANN from the previous exercise and improve the accuracy of their ANN
• Convolutional Neural Networks (CNN) Intuition
• Building a CNN

Day 2

• Evaluating Performance of a CNN
• Hands-On Exercise: Participants are asked to build the CNN from the previous exercise and improve the accuracy of their CNN
• Fully Convolutional Networks (FCN) Intuition
• Building a FCN
• Evaluating Performance of a FCN
• Hands-On Exercise: Participants are asked to build the FCN from the previous exercise and improve the accuracy of their FCN

Day 3

HANDS-ON

Duration: 8 hours

Certification: Upon successful completion of this workshop, you will receive NVIDIA DLI Certification to prove subject matter competency and support professional career growth

Tools, libraries and frameworks: Caffe, DIGITS

Upon completion of this lab, you’ll be able to implement deep learning to solve problems in the real world.Upon completion of this lab, you’ll be able to implement deep learning to solve problems in the real world.

MUST have a technical background and a basic understanding of Deep Learning concepts.

You will receive an e-Certificate in Deep Learning Fundamentals by NVIDIA Deep Learning Institute upon completion of this workshop.