Visualizing Filters of a CNN using TensorFlow
- Type
- Course
- Organization
- Coursera
- Location
- Online
- Deadline
- Rolling or not stated
- Salary
- Free to Audit
- Remote
- Yes
About this Opportunity
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.
What you get
- Compensation: Free to Audit
How to apply
- Click the "Apply — via Coursera" button to go to the source page.
- Create an account or log in to the platform.
- Enroll in the course and complete payment (if applicable).
- Start learning at your own pace.
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