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Copy pathBuild a computer vision app with Azure Cognitive Services
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Build a computer vision app with Azure Cognitive Services
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# Build a computer vision app with Azure Cognitive Services
## Guided Project Overview
Welcome to Your Guided Project!
This Guided Project runs on Coursera's hands-on interactive platform called Rhyme.
This is a Intermediate project-based course which should take approximately 1.5 hours to finish.
Familiarity with any Web Browser and navigating Windows Desktop is assumed. Background knowledge on app/software development and cloud computing is required to complete this project. The series of tasks will mainly be carried out using a web browser.
## Meet Your Instructor
Hi my name is Catalin and I will be taking you through this Guided Project. I have worked as an independent ICT consultant within the tech industry for many years, I am recognized as a Microsoft Azure Most Valuable Professional, as a Microsoft Certified Trainer and I also have developed several SaaS solutions based on AI technologies that are used by enterprises worldwide - so I hope to pass on my experience to you during this project
## Course Structure
This course is divided into 4 parts:
1. Guided Project Overview: This introductory reading material.
2. Hands-on Project: This is the hands on project that we will work on in Rhyme.
3. Graded Quiz: This is the final assignment that you need to pass in order to finish the course successfully.
4. Learner Survey: Tell us what you thought about this guided project!
## Course Objectives
In this course, we are going to focus on 3 learning objectives.
1. Creating a Computer Vision Cognitive Services resource using the Azure Portal
2. Using the resource via the API console and understanding how predictions are made
3. Understand the different API variations and features that Computer Vision offers.
### Build a computer vision app with Azure Cognitive Services
About Guided Projects
In this Guided Project, you will get assigned a cloud desktop that has all the required software pre-installed. This will allow you to follow along with the instructor to complete the above mentioned tasks. After all, we learn best with active, hands-on learning.
### Deep Learning with PyTorch : Object Localization
Project Overview
Welcome to Your Guided Project!
This is a intermediate project-based course which should take approximately 2 hours to finish.
Meet Your Instructor
Hi my name is Parth and I will be taking you through this Guided Project. I am experienced in Deep Learning with a demonstrated history of working in the various Image problems. In my free time I participate in kaggle competitions. Beside this I am also a ML/DL instructor at coursera.
Guided Project Structure
This Guided Project is divided into 4 parts:
1. Project Overview: This introductory reading material.
2. Hands-on Project: The hands on project that we will work on together
3. Graded Quiz: The final assignment that you need to pass in order to finish the project successfully.
4. Learner Survey: Tell us what you thought about this guided project!
## Deep Learning with PyTorch : Object Localization
About Guided Projects
In this Guided Project, you will get assigned a cloud desktop that has all the required software pre-installed. This will allow you to follow along with the instructor to complete the above mentioned tasks. After all, we learn best with active, hands-on learning.
## Aerial Image Segmentation with PyTorch
About Guided Projects
In this Guided Project, you will get assigned a cloud desktop that has all the required software pre-installed. This will allow you to follow along with the instructor to complete the above mentioned tasks. After all, we learn best with active, hands-on learning.
Aerial Image Segmentation with PyTorch
About Guided Projects
In this Guided Project, you will get assigned a cloud desktop that has all the required software pre-installed. This will allow you to follow along with the instructor to complete the above mentioned tasks. After all, we learn best with active, hands-on learning.