Réseaux neuronaux convolutifs

via Coursera

Coursera

1500 Cours


course image

Aperçu

This course will teach you how to create convolutional neural networks and apply them to image data. Thanks to deep learning, computer vision works much better than it did just two years ago, enabling many exciting applications like safe autonomous driving, accurate facial recognition, and automatic reading of radiological images.

You will:

  • Understand how to build a convolutional neural network, including recent variations such as residual networks.
  • Know how to apply convolutional networks to visual detection and recognition tasks.
  • Know how to use neural style transfer to generate art.
  • Be able to apply these algorithms to a variety of images, videos, and other 2D or 3D data.

This is the fourth course of the deep learning specialization.

University: Coursera

Categories: Artificial Intelligence Courses, Computer Vision Courses, Deep Learning Courses, Neural Networks Courses, Object Detection Courses, Facial Recognition Courses

Programme


Enseigné par

Andrew Ng, Kian Katanforoosh and Younes Bensouda Mourri


Étiquettes

provider Coursera

Coursera

1500 Cours


Coursera

pricing Free Online Course (Audit)
language French
duration 20 hours
sessions On-Demand
level Intermediate