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.
This course is part of the Deep Learning Specialization
Offered By


About this Course
Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures
A basic grasp of linear algebra & ML
Skills you will gain
- Deep Learning
- Facial Recognition System
- Convolutional Neural Network
- Tensorflow
- Object Detection and Segmentation
Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures
A basic grasp of linear algebra & ML
Offered by
Syllabus - What you will learn from this course
Foundations of Convolutional Neural Networks
Deep Convolutional Models: Case Studies
Object Detection
Special Applications: Face recognition & Neural Style Transfer
Reviews
- 5 stars87.75%
- 4 stars10.35%
- 3 stars1.43%
- 2 stars0.28%
- 1 star0.17%
TOP REVIEWS FROM CONVOLUTIONAL NEURAL NETWORKS
The videos were very good. I came into the course knowing a bit from doing my own readings and the material covered in the course really helped me understand how convolutional neural networks work.
Great course. Easy to understand and with very synthetized information on the most relevant topics, even though some videos repeat information due to wrong edition, everything is still understandable.
Great content in lectures! Automatic graders for programming assignments can be tricky, and set to old versions of tf sometimes, but answers to these issues are readily found in the discussion forums.
Too much hand-holding during assignments, although still very good directions. Obviously the issue with the final programming assignment needs to be addressed. Fantastic lecture material, as always.
About the Deep Learning Specialization

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