INTRODUCTION TO DEEP LEARNING WITH NVIDIA GPUS

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Teaching you to solve the world’s most challenging problems

Instructor-led training available in Malaysia, 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.

Training Schedule

Malaysia

5-7 Sep     40    ADAX
25-27 Sep     40  MaGIC
3-5 Dec     40  ADAX

Thailand

15-17 Aug   20 Software Park      
24-26 Oct   20 Software Park       

COURSE OVERVIEW

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.

COURSE OUTLINE3-Day Introduction to Deep Learning with NVIDIA GPUs

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

Day 3

  – Image Classification with DIGITS

Deep learning enables entirely new solutions by replacing hand-coded instructions with models learned from examples. Train a deep neural network to recognize handwritten digits by:

  • Loading image data to a training environment
  • Choosing and training a network
  • Testing with new data and iterating to improve performance

Upon completion of this lab, you’ll be able to assess what data you should be using for training.

 – Object Detection with DIGITS

Many problems have established deep learning solutions, but sometimes the problem that you want to solve does not. Learn to create custom solutions through the challenge of detecting whale faces from aerial images by:

  • Combining traditional computer vision with deep learning
  • Performing minor “brain surgery” on an existing neural network using the deep learning framework Caffe
  • Harnessing the knowledge of the deep learning community by identifying and using a purpose-built network and end-to-end labelled data

Upon completion of this lab, you’ll be able to solve custom problems with deep learning.

 – Neural Network Deployment with DIGITS and TensorRT

Deep learning lets us map inputs to outputs that are extremely computationally intense. Learn to deploy deep learning to applications that recognize images and detect pedestrians in real time by:

  • Accessing and understanding the files that make up a trained model
  • Building from each function’s unique input and output
  • Optimizing the most computationally intense parts of your application for different performance metrics like throughput and latency

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

Prerequisite

Basic high school mathematics knowledge, no prior Deep Learning knowledge.

Certification

You will receive a Beginner Level certificate from NVIDIA Deep Learning Institute once you completed the 3-day programme with inclusive participation of the 1-day NVIDIA Deep Learning Lab.

Day 3 / 1-Day Fundamentals of Deep Learning for Computer Vision (in partnership with the NVIDIA Deep Learning Institute)

Key Points

 – Image Classification with DIGITS

Deep learning enables entirely new solutions by replacing hand-coded instructions with models learned from examples. Train a deep neural network to recognize handwritten digits by:

  • Loading image data to a training environment
  • Choosing and training a network
  • Testing with new data and iterating to improve performance

Upon completion of this lab, you’ll be able to assess what data you should be using for training.

 – Object Detection with DIGITS

Many problems have established deep learning solutions, but sometimes the problem that you want to solve does not. Learn to create custom solutions through the challenge of detecting whale faces from aerial images by:

  • Combining traditional computer vision with deep learning
  • Performing minor “brain surgery” on an existing neural network using the deep learning framework Caffe
  • Harnessing the knowledge of the deep learning community by identifying and using a purpose-built network and end-to-end labelled data

Upon completion of this lab, you’ll be able to solve custom problems with deep learning.

 – Neural Network Deployment with DIGITS and TensorRT

Deep learning lets us map inputs to outputs that are extremely computationally intense. Learn to deploy deep learning to applications that recognize images and detect pedestrians in real time by:

  • Accessing and understanding the files that make up a trained model
  • Building from each function’s unique input and output
  • Optimizing the most computationally intense parts of your application for different performance metrics like throughput and latency

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

Prerequisite

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

Certification

You will receive a Certificate in Deep Learning Fundamentals by NVIDIA Deep Learning Institute upon completion of this 1-day workshop.

FAQs

Q. Is this certification recognized?

You bet it is! Our Certification Body for this course is iTrain Asia Pte Ltd, the region’s top Certifications Tech Provider headquartered in Singapore, with branch offices in Malaysia and Indonesia.

Q. What is the course duration?

Introduction to Deep Learning with NVIDIA GPUs is 3 days, whilst the Deep Learning Institute Fundamentals Workshop is 1 day. Please ensure that you have read the compulsory prerequisites before joining.

Q. Should I come equipped with my own machine?

Yes! It is compulsory for you to bring your own laptop for this training. We will assist you with classroom setups for your NVIDIA lab tutorials.

Contacts

Singapore office

+65 6407 1115
Mon – Fri 8.00 – 18.00

Malaysia office

+603 2733 0337
Mon – Fri 8.00 – 18.00

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