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

4.09 (36 reviews)

ArcGIS : Learn Deep Learning in ArcGIS to advance GIS skills



2 hours


Oct 2020

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Regular Price

What you will 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




Need to take your spatial data (GIS, Remote Sensing) analysis, and visualization one 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 such geospatial tasks 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 the 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.

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




ArcGIS PRO: Software used in this course

Why deep Learning and why ArcGIS Pro?

Introduction to neural networks and deep learning implementation in ArcGIS PRo

Introduction to neural networks

Deep learning in ArcGIS Pro: an overview

Getting started with Deep learning in ArcGIS Pro

Implementing Deep learning (neural networks) for geospatial tasks in ArcGIS Pro

Step 1: Training data creation for convolutional (or deep) neural network (CNN)

Lab: Downloading image data for deep learning analysis in ArcGIS Pro

Lab: Image preparation for deep learning in ArcGIS Pro

Lab: Training data creation for neural network in ArcGIS PRO 2.5

Lab: Install deep learning frameworks for ArcGIS

Step 2: Deep Learning (CNN) model definition in ArcGIS PRO

Lab: Deep Learning (CNN) model definition (training CNN model) in ArcGIS PRO

Step 3: Apply deep learning model for object detection or image classification

Lab: Detect image object with CNN (deep learning model) in ArcGIS Pro

Lab: Tips for Mapping of the detected objects

Summary & Conclusions

Outlook: Predictions &AI for GIS

Final Project Description

Summary & Conclusions


Matthieu18 August 2020

I had a very good experience, but the english language used was a bit difficult for me to understand at some point.


Expired6/16/2020100% OFF
Expired8/2/202075% OFF


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