NXP Webinar: Machine Learning Discovery Solutions
07 Jul 2020 - 09 Jul 2020
Online Webinar, EMEA
Online, On Demand
Machine Learning Discovery Solutions
NXP Semiconductors and EBV Elektronik have the pleasure to invite you for a series of webinars focusing on Machine Learning Technology. Over three days NXP and EBV will guide you through the Machine Learning applications starting from Convolutional Neural Network theory, moving on to some real life applications like Predictive Maintenance in Motor Control applications and turnkey solutions for voice, face and object recognition. All presentations will be held by NXP and EBV Application Engineers.
Session 1 - July 7 – 10.00am ( 90 mins ) Introduction to ML from EBV
Introduction into ML – what is it good for - NXP Strategy Overview by Charles Naoum (NXP) - EBV Overview by Ulrich Schmidt- - Introduction to Convolutional Neural Networks by Gianluca Filippini (EBV)
- Convolutions & Kernels
- CNN Building Blocks
- LeNet, AlexNet and VGGNet
- InceptionNet and ResNet
- Classification & object detection
Session 2 – July 8 – 10.00am ( 60 mins ) Predictive Maintenance from NXP
Using predictive maintenance to improve product functionality by Paul Le Boulanger (NXP)
Session 3 – July 9 – 10.00am ( 120 min ) ML on NXP MCU/MPUs from NXP
Accelerate user experience for your application with ML - ML on NXP Semiconductors Application Processors by Raluca Popa (NXP) and Gianluca Filippini (EBV) - ML on Layerscape by Gianluca Filippini (EBV) - ML on Microcontrollers by Seifeddine Ayadi (NXP)
- eIQ™ ML Software Development Environment for microprocessors
- i.MX 8M Plus
- ML on i.MX 8M Plus
- Demo on Avnet MAAXBoard (EBV)
- ML on Layerscape (EBV)
- ML on Microcontrollers (NXP)
- Turnkey Solutions (Voice and vision)
- Implementing voice recognition using eIQ
- Demo on Voice and Vision Solutions
Key Takeaways of this Webinar :
- Know and understand Convolutional Neural Network, how to apply ML techniques to solve real life problems.
- Predictive Maintenance, how and why ML will help to improve product functionality.
- How to choose the right NXP platform for your ML application.
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