In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more.
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Convolutional Neural Networks
This course is part of Deep Learning Specialization
Taught in English
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Instructors: Andrew Ng
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There are 4 modules in this course
Implement the foundational layers of CNNs (pooling, convolutions) and stack them properly in a deep network to solve multi-class image classification problems.
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12 videos6 readings1 quiz2 programming assignments
Discover some powerful practical tricks and methods used in deep CNNs, straight from the research papers, then apply transfer learning to your own deep CNN.
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14 videos3 readings1 quiz2 programming assignments
Apply your new knowledge of CNNs to one of the hottest (and most challenging!) fields in computer vision: object detection.
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14 videos4 readings1 quiz2 programming assignments
Explore how CNNs can be applied to multiple fields, including art generation and face recognition, then implement your own algorithm to generate art and recognize faces!
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11 videos6 readings1 quiz2 programming assignments
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