TensorFlow for AI: Applying Image Convolution

This guided project course is part of the "Tensorflow for AI" series, which builds on the first course in the DeepLearning series. The AI TensorFlow Developer Professional Certificate will help learners improve their abilities and create more Tensorflow projects.

In this 1.5-hour project-based course, you'll learn about convolutions, how to apply filters to images, how to apply pooling layers, and how to practice convolution and pooling techniques on real images. You will receive a bonus deep learning project developed with Tensorflow at the conclusion of the project. You will have learnt how convolutions operate and how to design convolutional layers by the conclusion of this project, which will help you prepare for your own deep learning projects utilizing convolutional neural networks.

This class is for students who want to learn how to use Python to build convolutional neural networks with TensorFlow, as well as students who are currently enrolled in or have completed a basic deep learning course and are looking for a knowledge-based course on convolutions in images with TensorFlow. Additionally, by including this project in their portfolios, learners gain necessary information about developing convolutional neural networks and enhance their abilities in applying filters to pictures, which aids them in achieving their professional objectives.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
• Certificate: Earn a Certificate upon completion
• 100% online
• Intermediate Level
• Approx. 1.5 hours to complete
• Subtitles: English

Coursera Rating: 4.6/5
Enroll here: https://www.coursera.org/projects/tensorflow-for-ai-applying-image-convolution