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ArcGIS : Learn Deep Learning in ArcGIS to advance GIS skills
Rating: 4.0 out of 5(220 ratings)
2,980 students

ArcGIS : Learn Deep Learning in ArcGIS to advance GIS skills

Learn to apply Deep Learning algorithms (eg. Neural Networks ) in GIS ie. ArcGIS PRO & machine learning Remote Sensing
Created byKatie Alison
Last updated 11/2024
English

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

Course content

4 sections23 lectures2h 7m total length
  • Introduction3:40
  • ArcMap VS ArcGIS Pro5:11
  • Why to use ArcGIS POR # it's capabilities3:00
  • ArcGIS PRO: Software used in this course
  • Why deep Learning and why ArcGIS Pro?4:10

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

Deep Learning for Geospatial Analysis with ArcGIS Pro

Unlock the potential of deep learning and machine learning in the world of geospatial analysis, even if you're new to programming! This comprehensive course will introduce you to the fundamentals of deep learning and teach you how to apply deep learning algorithms, such as convolutional neural networks, in ArcGIS Pro. By the end of this course, you'll have the skills to elevate your geospatial expertise, opening the doors to exciting job opportunities.

Course Highlights:

  • Introduction to deep learning basics

  • Application of deep learning algorithms in ArcGIS Pro

  • Geospatial data analysis and manipulation with deep learning

  • Creation of valuable results for various applications

  • Suitable for beginners in deep learning and programming

  • Precise instructions and practical exercises

Course Focus:

Whether you're hearing about deep learning and machine learning everywhere but don't know where to start, or you want to enhance your geospatial skills, this course is for you. You'll learn the essentials of deep learning and how to implement deep learning algorithms in ArcGIS Pro for geospatial analysis.

Why Choose This Course:

Deep learning may seem daunting, but this course simplifies the subject, making it accessible to beginners. You'll gain the knowledge and confidence to work on your own projects, manipulate data with deep learning algorithms, and produce meaningful results for various stakeholders.

What You'll Learn:

  • Basics of machine learning and deep learning

  • Practical application of deep learning algorithms (e.g., neural networks) in GIS

  • Object-based image analysis using deep learning

  • ArcGIS Pro workflow for deep learning

  • Deep Learning frameworks in ArcGIS

  • Parameter selection and algorithm application for geospatial tasks

  • Completion of a geospatial project using deep learning in ArcGIS Pro

Enroll Today:

This course is ideal for geospatial professionals, including geographers, programmers, social scientists, geologists, and anyone looking to expand their knowledge of Machine Learning in GIS. Whether you're a beginner or looking to advance your skills, this course will empower you to apply deep learning in ArcGIS Pro confidently.

INCLUDED IN THE COURSE: Access precise instructions and datasets for practical exercises in applying deep learning algorithms using ArcGIS Pro. Enroll today and kickstart your journey into the world of geospatial deep learning!

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.