Getting started: Deep Learning (Machine Learning) in ArcGIS

Learn to apply Deep Learning algorithms (eg. Neural Networks) in GIS (ArcGIS PRO), learn machine learning Remote Sensing.

What you'll learn

Understand basics of deep learning as a part of machine learning
Discover the deep learning in ArcGIS Pro
Apply deep learning algorithms <, such as convolution neural networks, in GIS with ArcGIS Pro
Learn how to install deep learning frameworks for ArcGIS
Learn about deep learning workflow in general, and all steps in particular
Understand different deep learning programming frameworks
Apply deep learning in the practical real-life examples in ArcGIS Pro
Complete your own deep learning-based project in ArcGIS Pro
Improve your practical skills in GIS and ArcGIS


Requirements

An interest in working with spatial data.
Prior knowledge of basic spatial data related concepts such as the different data types and coordinate systems
Access to ArcGIS Pro (version 2.5 or more) and a license for spatial analyst (free trial available on the ESRI website)

Description

Need to take your spatial data (GIS, Remote Sensing) analysis, and visualization a step further?

Everyone around you is talking about deep learning and machine learning but you feel frustrated as you don't know any programming and think that it is not for you?

This course will introduce you to the basics of deep learning and teach you the application of deep learning algorithms (such as convolution neural networks) for ArcGIS Pro and give you the skills necessary to improve your geospatial skills and get great job opportunities. By the end of this course, you will be able to take your own project and find data, manipulate it with deep learning algorithms, and create useful results for your peers, professors, clients, etc. This course is absolutely a must for all who want to learn deep learning but don't know how to start with this challenging subject.

This course is designed to equip you with the basics of machine learning, and its cutting edge part of deep learning (theoretical and practical knowledge) as applied for geospatial analysis, namely Geographic Information Systems (GIS) and Remote Sensing. By the end of the course, you will feel confident and understand the fundamentals of applying Deep Learning algorithms (such as neural networks) in GIS. I will teach you how to use Deep Learning algorithms for various geospatial tasks, such as object-based image analysis. By the end of this course, you will have a full idea of the ArcGIS Pro workflow for deep learning, understand Deep Learning frameworks used in ArcGIS, learn basics of parameter selection, and algorithm application for deep learning GIS tasks. On top of that, you will practice GIS by completing an entire geospatial project by exploring the power of Deep Learning for image analysis and GIS problems using ArcGIS Pro.

The course is ideal for professionals such as geographers, programmers, social scientists, geologists, and all other experts who need to use maps in their field and would like to learn more about Machine Learning in GIS. If you're planning to undertake a task that requires to use a state of the art Machine Learning algorithms for object detection or creating, for instance, land cover and land use maps.

One important part of the course is the practical exercises. You will be given some precise instructions and datasets to apply Machine Learning algorithms using the ArcGIS Pro software.

Who this course is for:

The course is ideal for professionals such as geographers, programmers, social scientists, geologists, and all other experts who need to use maps in their field and would like to learn more about geospatial (GIS & Remote Sensing) analysis.