LENGTH:                       2 Days
TIME:                              Office hours in your timezone
LOCATION:                   Online - US, EU and SE Asian timezones


Or contact NGIS on the form at the bottom of the page to request a corporate course.

 

 


GEE3-2



 

 
 

course information

 

The Google Earth Engine Machine Learning course will focus on the advanced Machine Learning capabilities. Best practices for Machine Learning for Earth Observations will be presented along with the ML features of Earth Engine and the broader Google Cloud Platform. 

Google Earth Engine Fundamentals or equivalent skills

  • ML in Earth Engine Overview
  • ML best practices
  • Training data
  • Validating data
  • Supervised classification
  • Unsupervised classification
  • Tensorflow API
  • Exporting Tensorflow records
  • Neural segmentation
  • Designing Deep Neural Network Models
  • Designing Full Convolution Neural Network Models
  • Image classification through ML

 

WHEN
NGIS are able to offer group training sessions for a team of six or more on an agreed date online only. Please send an email to training@ngis.com.au to start this discussion. 

*NGIS reserves the right to cancel, postpone or re-schedule courses due to low enrolments or unforeseen circumstances. Where a fee refund is due, such a refund will be provided within 30 days. NGIS will have no further liability.



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