Convolutional Neural Networks
This course is part of Deep Learning Specialization
Instructors: Andrew Ng +2 more
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Skills you'll gain
There are 4 modules in this course
By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI.
Deep Convolutional Models: Case Studies
Object Detection
Special Applications: Face recognition & Neural Style Transfer
Explore more from Machine Learning
©2025 ementorhub.com. All rights reserved