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.
Este curso faz parte do Programa de cursos integrados Aprendizagem profunda
oferecido por


Informações sobre o curso
Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures
A basic grasp of linear algebra & ML
Habilidades que você terá
- 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
oferecido por
Programa - O que você aprenderá com este curso
Foundations of Convolutional Neural Networks
Deep Convolutional Models: Case Studies
Object Detection
Special Applications: Face recognition & Neural Style Transfer
Avaliações
- 5 stars87,74%
- 4 stars10,36%
- 3 stars1,43%
- 2 stars0,28%
- 1 star0,17%
Principais avaliações do 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).
This course has been one of the harder ones in the specialization. I found some of the programming exercises to be somewhat challenging. I am really glad I finished it! Time to head to Course 5 now!
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.
Sobre Programa de cursos integrados Aprendizagem profunda

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