This course is available on Coursera which is taught by Stanford professor Andrew Ng, the co-founder of Coursera. This course has five deep courses to better grab the knowledge. You have totally free access for the pages but you need to take subscription which is paid, if you wanted to go through the assignments or if you want the certificate at the completion of the course. Even you can have a free trial which is of 7 days. From the specialization page you can sign in for an individual course for free but you need to visit the course pages separately as you cannot sign up to them.
Learn about artificial neural networks and how they are being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language, and human motion, etc. Well, emphasize both the basic algorithms and the practical tricks needed to get them to work well.
This 7week course is designed for anyone with at least a year of coding experience, and some memory of high school math. You will start with step one learning how to get a GPU server online suitable for deep learning and go all the way through to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems.
Here you will easily able to develop the clear picture and knowledge of the deep learning motivations and intelligent systems which are complex and have large datasets can be designed. Some challenging problems will be easily sorted by these deep learning methods which you will learn in this course.
This will be an applied course focusing on recent advances in analyzing and generating speech and text using recurrent neural networks. We will introduce the mathematical definitions of the relevant machine learning models and derive their associated optimization algorithms.
A weeklong intro to deep learning methods with applications to machine translation, image recognition, game playing, image generation and more. A collaborative course incorporating labs in TensorFlow and peer brainstorming along with lectures.
Welcome to this course which consists of the upholding of the neural networks. This course is taught by Hugo at the Universite de Sherbrooke. This is a graduate-level course, which covers basic neural networks as well as more advanced topics.