CNN Process
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About this course
Convolutional Neural Network is a type of Deep Neural Network that is majorly used in applications related to computer vision such as image classification, image recognition, object detection, etc. In CNN specifically, the process of convolution takes place on the input data with the help of filters which produces a feature map. In this course, we will talk about digital images, the features of digital images, the convolution process, and pooling features such as max and average pooling. We will also uncover kernels and various filters along with feature maps in the Convolution process of CNN.
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Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Will I get a certificate after completing this CNN free course?
Yes, you will get a certificate of completion for in CNN Course after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.
How much does this CNN course cost?
It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of CNN can get started with this course.
Is there any limit on how many times I can take this free course?
Once you enroll in the CNN Course, you have lifetime access to it. So, you can log in anytime and learn it for free online.
Can I sign up for multiple courses from Great Learning Academy at the same time?
Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.
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