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In this hands-on course, you will learn the basics of deep learning by training and deploying neural networks.
You will learn how to:
Upon completion, you will be able to start solving problems on your own with deep learning.
Prerequisites: Programming skills (C/C++, Python or similar)
Duration: 8 hours
Framework: Caffe, NVIDIA DIGITS™
Adam Henryk Grzywaczewski is an experienced applied research scientist specialised in Machine Learning and Information Retrieval with extensive Deep Learning/Big Data/Software Development/System Architecture background. He works for NVIDIA as a Deep Learning Solution Architect supporting a wide range of customers (from private, public and educational sector) in delivery of their machine learning/deep learning solutions. Prior to joining NVIDIA he has been responsible for building Machine Learning/Big Data capability for the UK biggest government departments and working as a Research Strategy Engineer in Jaguar Land Rover research department. He holds a PhD in Information Retrieval and has a very solid software development background.
|9:00||Deep Learning Demystified and Applied Deep Learning (lecture)|
|10:00||Image Classification with DIGITS (lab*)|
|13:00||Object Detection with DIGITS (lab*)|
|17:15||Neural Network Deployment with DIGITS and TensorRT (lab*)|
* Please note that attendees MUST bring their own laptops.
This workshop is brought to you by:
Organised by NVIDIA Deep Learning Institute and the Alexandra Institute