Introduction to Deep Learning with NVIDIA GPUs

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 the 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.

Who Should Attend

Anyone interested to learn more about Deep Learning, or kickstart a career as a Data Scientist. This includes Students, Data Analysts, Business Owners, Entrepreneurs or any individual who wishes to leverage powerful Deep Learning tools to add value wherever they are.

Course Outline:

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 an RNN
• Evaluating Performance of an 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
• Object Detection with DIGITS
• Neural Network Deployment with DIGITS and TensorRT
• Closing comments and questions
  

Course Objectives

• Introduction to Deep Learning
• Getting Started with Deep Learning
• Approaches to Object Detection Using DIGITS
• Deep Learning for Image Segmentation
• Deep Learning Network Deployment
• Medical Image Segmentation Using DIGITS
• Introduction to Deep Learning with R and MXNET
• Introduction to RNNs
• Signal Processing using DIGITS
• Deep Learning with Electronic Health Record

Certificate

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

Prerequisites

Preferably a minimum 2 years of experience in software development, business domain or data/business analysis. However, if you do not have any of the following experiences, you can still consider taking up the course.