Convolutional Neural Networks (Coursera)

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 to use neural style transfer to generate art.

- Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data.

Course 4 of 5 in the Deep Learning Specialization.

Syllabus

WEEK 1

Foundations of Convolutional Neural Networks

Learn to implement the foundational layers of CNNs (pooling, convolutions) and to stack them properly in a deep network to solve multi-class image classification problems.

WEEK 2

Deep convolutional models: case studies

Learn about the practical tricks and methods used in deep CNNs straight from the research papers.

WEEK 3

Object detection

Learn how to apply your knowledge of CNNs to one of the toughest but hottest field of computer vision: Object detection.

WEEK 4

Special applications: Face recognition & Neural style transfer

Discover how CNNs can be applied to multiple fields, including art generation and face recognition. Implement your own algorithm to generate art and recognize faces!