4.09 (36 reviews)
☑ 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
I had a very good experience, but the english language used was a bit difficult for me to understand at some point.