Deep Learning Course Overview
Deep Learning (DL) is the fastest-growing field in Machine Learning and Artificial Intelligence (AI) that enables machines to be far more efficient, advanced and intelligent at predicting things. It uses many layered Deep Neural Networks (DNNs) to make sense of data such as images, sound and text, and powers some of the most interesting applications in the world like autonomous vehicles (driverless cars), speech recognition, image recognition, preventive healthcare, and more.
Developers, Engineers and Business Leaders of today cannot ignore the impact of Deep Learning for powering modern applications as more and more organisations are investing heavily in research and using the technology in many practical machine assists, from startups to Fortune 500 companies. DL is enabling immense progress in all kinds of emerging markets and will be instrumental in ways yet to be imagined!
Today’s advanced DNNs use algorithms, big data, and the computational power of Graphic Processing Units (GPUs) so machines can learn at the speed, accuracy and scale that are driving true AI computing. To understand how you can harness the power of DL for your organisation or invention, start by getting an Introduction to Deep Learning with NVIDIA GPUs. During the Course, you’ll learn the latest techniques on how to design, train and deploy neural network-powered machine learning in your applications. You’ll also explore explore widely used open-source frameworks and NVIDIA’s latest GPU-accelerated deep learning platforms.
Key Topics Covered:
Introduction to Deep Learning (DL) • Getting Started with DL • Approaches to Object Detection using DIGITS • DL for Image Segmentation • DL Network Deployment • Medical Image Segmentation using DIGITS • Introduction to DL with R and MXNET • Introduction to RNNs • Signal Processing using DIGITS • DL with Electronic Health Record
Who Should Attend & Prerequisites:
Anyone interested to learn more about Deep Learning, or kickstart a career as a Data Scientist. This includes Students, Data Analysts, Developers, Business Owners, Engineers, Product Architects, Entrepreneurs or any individual who wishes to leverage on powerful Deep Learning tools to add value, wherever they are. Prerequisites: Students must have basic high school mathematics knowledge (no prior DL knowledge required). A basic Python understanding will also be useful for certain exercises.
WHAT YOU’LL LEARN: DAILY SCHEDULE
“Everything about the course was great. Thanks!”
Mohd Izzudin bin Razali, Universiti Teknologi Malaysia
“Good and clear introduction to the basic operation of neural networks.”
Hoo Wan Hong, TMAS
“The trainer is very good, he knows deeply about the subject and topics and answered our questions well.”
Nur Shafiranisa binti Shaharum, Universiti Putra Malaysia
YOUR QUESTIONS, ANSWERED.
Participants will receive a Beginner Level Certificate from NVIDIA Deep Learning Institute upon completion of the 3-day programme, inclusive of participation in the 1-day NVIDIA Deep Learning Lab workshop.
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.
This is a 3-day course at an instructor-led training centre.
Computers are provided for iTrain students. However participants can also use their own computers as long as it’s installed with the necessary applications.