iOS Developer Salary: Your 2025 Guide
January 6, 2025
Article · 7 min read
(113 reviews)
Recommended experience
Intermediate level
Prior programming experience in Python. Conceptual understanding of Neural Networks. Prior experience with TensorFlow and Keras.
(113 reviews)
Recommended experience
Intermediate level
Prior programming experience in Python. Conceptual understanding of Neural Networks. Prior experience with TensorFlow and Keras.
Create synthetic data for model training
Create and train a multi output neural network to perform object localization
Create custom metrics and calbacks in Keras
Add to your LinkedIn profile
Only available on desktop
Welcome to this 2 hour long guided project on creating and training an Object Localization model with TensorFlow. In this guided project, we are going to use TensorFlow's Keras API to create a convolutional neural network which will be trained to classify as well as localize emojis in images. Localization, in this context, means the position of the emojis in the images. This means that the network will have one input and two outputs. Think of this task as a simpler version of Object Detection. In Object Detection, we might have multiple objects in the input images, and an object detection model predicts the classes as well as bounding boxes for all of those objects. In Object Localization, we are working with the assumption that there is just one object in any given image, and our CNN model will classify and localize that object.
Please note that you will need prior programming experience in Python. You will also need familiarity with TensorFlow. This is a practical, hands on guided project for learners who already have theoretical understanding of Neural Networks, Convolutional Neural Networks, and optimization algorithms like Gradient Descent but want to understand how to use use TensorFlow to solve computer vision tasks like Object Localization.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction
Download and Visualize Data
Create Examples
Plot Bouding Boxes
Data Generator
Model
Custom Metric: IoU
Compile the Model
Custom Callback
Model Training
Prior programming experience in Python. Conceptual understanding of Neural Networks. Prior experience with TensorFlow and Keras.
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
The Coursera Project Network is a select group of instructors who have demonstrated expertise in specific tools or skills through their industry experience or academic backgrounds in the topics of their projects. If you're interested in becoming a project instructor and creating Guided Projects to help millions of learners around the world, please apply today at teach.coursera.org.
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
113 reviews
60.17%
24.77%
6.19%
2.65%
6.19%
Showing 3 of 113
Reviewed on Jul 30, 2021
It is pretty good for ConvNets beginners, but you need to have prior knowlegde in python(OOP, tf, keras, nn programming)
Reviewed on Mar 30, 2022
If you want to learn the basics and some advanced techniques in TF on object localization, this will help you get to understand each step of the process.
Reviewed on Mar 31, 2021
I really liked the course and how it was the next step from a classification problem.
Coursera Project Network
Course
DeepLearning.AI
Course
Coursera Project Network
Course
Coursera Project Network
Course
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.