Online, On Demand

Introduction to Machine Learning

Live presentation date: April 16, 2020

The main goal of this webinar is to understand the basics of artificial intelligence and to walk you through the steps of running your own AI application, based on Xilinx AI development flow.

At the end of this webinar, you should be able to answer questions like: What is Machine Learning? What is the difference between Training and Inference Instances? Why is Python so popular? How do I start to develop my own application?

With step-by-step instructions, we will guide you through the incredible adventure of diving into the world of Artificial Intelligence.
 

Agenda:
 

Introduction to Artificial Intelligence/Machine Learning/Deep Learning – definitions, area of applications, Neural Network Architectures explanation, examples of implementation

Machine Learning Tools and Frameworks - Basic training design flow, available hardware platforms and tool support, overview of the most popular ML frameworks like TensorFlow and Caffe, data sets for the training, short introduction to Python and core libraries

Machine Learning Inference – Reduced Precision Neural Networks, possible hardware implementations for Edge and Cloud using Xilinx Solutions – Zynq/MPSoC, Alveo, Pynq Project.

Detailed explanation of the Machine Learning Design Flow of Xilinx – DNNDK and Vitis AI

Speaker:

Stan Klinke, Field Application Engineer, EBV Elektronik

Stan Klinke has worked in various positions in the semiconductor industry for more than 20 years.
He gained his experience as an ASIC and FPGA developer while working on projects for consumer and industrial applications.
In addition to various tasks in the field of high-end processing, he focuses in particular on projects in the area of machine learning and artificial intelligence.

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