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KUALA LUMPUR: iTrain Introduction to Deep Learning with NVIDIA GPUs


KUALA LUMPUR: iTrain Introduction to Deep Learning with NVIDIA GPUs


Please select your preferred workshop dates from the Ticket Bar.

7 – 9 August 2019 (Open for registration!)

21 – 23 October 2019 (Open for registration!)

3 – 5 December 2019 (Open for registration!)

PAY VIA EVENTBRITE:Fee : RM3710 (including SST) *Please note that Eventbrite fees will be incurred

PAY VIA ITRAIN:To register and pay via transfer directly to iTrain, please email us at aW5mbyB8IGl0cmFpbiAhIGNvbSAhIG15 (You will be quoted in MYR. No Eventbrite service fee incurred)  

Get 10% off when you register by 15 July 2019! (Inquire: aW5mbyB8IGl0cmFpbiAhIGNvbSAhIG15)


Must have technical knowledge in R and Python, understand basic Data Science, Machine Learning and AI algorithms, familiarity with basic programming fundamentals such as functions and variables

Your Certificate

You will receive an e-Certificate by NVIDIA Deep Learning Institute upon completion.

About the Course

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

This workshop teaches you to apply deep learning techniques to a range of computer vision tasks through a series of hands-on exercises. 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.

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. 

DLI Workshop Attendee Instructions: 

You MUST bring your own laptop to this workshop.NOTE: Please AVOID bringing work laptops with limited external domain access


Course Outline


What is Deep Learning and what are Neural Networks? 

Deep Learning as a branch of AI

Neural networks and their history and relationship to neurons

Creating a neural network in Python

Artificial Neural Networks (ANN) Intuition 

Understanding the neuron and neuroscience

The activation function (utility function or loss function)

How do NN’s work?

How do NN’s learn?

Gradient descent

Stochastic Gradient descent


Building an ANN 

Getting the python libraries

Constructing ANN

Using the bank customer churn dataset

Predicting if customer will leave or not

Evaluating Performance of an ANN 

Evaluating the ANN

Improving the ANN

Tuning the ANN

Hands-On Exercise (60 min)

Participants will be asked to build the ANN from the previous exercise

Participants will be asked to improve the accuracy of their ANN

Convolutional Neural Networks (CNN) Intuition (60 min)

What are CNN’s?

Convolution operation

ReLU Layer



Full Connection

Softmax and Cross-entropy

Building a CNN (60 min)

Getting the python libraries

Constructing a CNN

Using the Image classification dataset

Predicting the class of an image

Day 2

Evaluating Performance of a CNN (60 min)

Evaluating the CNN

Improving the CNN

Tuning the CNN

Hands-On Exercise (60 min)

Participants will be asked to build the CNN from the previous exercise

Participants will be asked to improve the accuracy of their CNN

Fully Convolutional Network (FCN) Intuition (60 min)

What are FCN’s?

Vanishing Gradient problem


Practical intuition

LSTM variations

Building a FCN (60 min)

Getting the python libraries

Constructing FCN

Using the stock prediction dataset

Predicting stock price

Evaluating Performance of a FCN (60 min)

Evaluating the FCN

Improving the FCN

Tuning the FCN

Hands-On Exercise (60 min)

• Participants will be asked to build the FCN from the previous exercise

• Participants will be asked to improve the accuracy of their FCN



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

ABOUT YOUR TRAINER:Dr. LE Thi Ngoc Tho | Ho Chi Minh City University of Technology (HUTECH)

Download Trainer's Profile HERE.
Ticket Information Ticket Price
Workshop: 17-19 June MYR 3,710
Workshop: 7-9 Aug MYR 3,710
Workshop: 21-23 Oct MYR 3,710
Workshop: 3-5 December MYR 3,710

Map Asean Data Analytics Exchange (ADAX), Level 27, Tower B, Vertical Business Suites, Avenue 3, Bangsar South, Kuala Lumpur, Malaysia
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