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.
Ce cours fait partie de la Spécialisation Deep Learning
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À propos de ce cours
Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures
A basic grasp of linear algebra & ML
Compétences que vous acquerrez
- 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
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Programme de cours : ce que vous apprendrez dans ce cours
Foundations of Convolutional Neural Networks
Deep Convolutional Models: Case Studies
Object Detection
Special Applications: Face recognition & Neural Style Transfer
Avis
- 5 stars87,74 %
- 4 stars10,37 %
- 3 stars1,43 %
- 2 stars0,28 %
- 1 star0,17 %
Meilleurs avis pour CONVOLUTIONAL NEURAL NETWORKS
very easy to understand and helped my understanding in Deep Learning-based computer vision. Yet, this course will need to be updated with new developments in the future (to catch up with the trend).
Great course for kickoff into the world of CNN's. Gives a nice overview of existing architectures and certain applications of CNN's as well as giving some solid background in how they work internally.
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.
This is one of the best courses for CNNs. This gives a very deep understanding of the concepts and helps to understand the brains behind the CNNs and their working in application based environments.
À propos du Spécialisation Deep Learning

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