What Is TensorFlow? Definition, use cases, and more
May 16, 2024
Article
Instructor: Amit Yadav
5,895 already enrolled
Included with
(76 reviews)
Recommended experience
Intermediate level
Prior experience in Python, theoretical understanding of Convolutional Neural Networks and optimization algorithms like gradient descent.
(76 reviews)
Recommended experience
Intermediate level
Prior experience in Python, theoretical understanding of Convolutional Neural Networks and optimization algorithms like gradient descent.
Implement gradient ascent algorithm
Visualize image features that maximally activate filters of a CNN
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Only available on desktop
In this short, 1 hour long guided project, we will use a Convolutional Neural Network - the popular VGG16 model, and we will visualize various filters from different layers of the CNN. We will do this by using gradient ascent to visualize images that maximally activate specific filters from different layers of the model.
We will be using TensorFlow as our machine learning framework. The project uses the Google Colab environment which is a fantastic tool for creating and running Jupyter Notebooks in the cloud, and Colab even provides free GPUs for your notebooks. You will need prior programming experience in Python. 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 the TensorFlow to visualize various filters of a CNN. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction
Downloading the Model
Get Submodels
Image Visualization
Training Loop
Final Results
Prior experience in Python, theoretical understanding of Convolutional Neural Networks and optimization algorithms like gradient descent.
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.
76 reviews
68.42%
14.47%
7.89%
2.63%
6.57%
Showing 3 of 76
Reviewed on Apr 13, 2022
instructor explains everything clearly, but an actual application was missing. a quick cats and dogs comparison on how to infer filter activation would have been helpful.
Reviewed on Oct 23, 2023
Love the way he explain the code in simple and cool manner
Reviewed on Jan 13, 2025
I would like to know how to make filters for different projects.
for example how to make filters for extract corners, etc.
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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.