Byte-Sized Deep Learning Series: Image Recognition
- Created By raju2006
- Last Updated December 5th, 2023
- Overview
- Prerequisite
- Audience
- Audience
- Curriculum
Description:
This 90-minute session will explore the use of deep learning and the role of convolution neural networks in computer vision and image classification. Learners will use TensorFlow to build and train deep learning models to classify images.
Course Code/Duration:
BDT149 / 90 minutes
- Learners should have a basic knowledge of Python programming.
- This course is for those who are interested in gaining an understanding of how deep learning is used to recognize and classify images (e.g., medical imaging, face recognition, image classification).
- This course is for those who are interested in gaining an understanding of how deep learning is used to recognize and classify images (e.g., medical imaging, face recognition, image classification).
Course Outline:
During this course, you will have the opportunity to:
- Explore deep learning and the advantages of deep learning models.
- Understand convolutional neural networks and how they learn to recognize images.
- Use TensorFlow to build and train a deep neural network to classify images.
Training Material Provided: Yes (Digital Format)
The curriculum is empty
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