Learn the most advanced methods in deep learning for medical applications with neural networks in medicine.
Suggested by: Coursera (What is Coursera?)
No prior knowledge required
No unnecessary risks
This specialization is intended for people involved in machine learning and interested in medical applications, or conversely, for medical professionals interested in the methods offered by modern computer science for their field.
Learners will be able to apply the theoretical concepts to programming assignments with automatic grading, using training data we provide for various neural network algorithms.
Course duration: 24 hours
Course duration: 22 hours
Rating: 3.7 (12 ratings)
This course covers deep learning (DL) methods, healthcare data, and applications using DL methods. The course includes activities such as video lectures, self-paced programming labs, homework (written and programming), and a major project.
The first phase of the course will include video lectures on various DL and healthcare applications, self-guided labs, and lots of homework. In this phase, you will build your knowledge and experience in developing practical deep learning models on healthcare data. The second phase of the course will be a large project that can lead to a technical report and a live demo of the deep learning models for solving specific healthcare problems. We expect the best projects to lead to scientific publications.
Course duration: 16 hours
This course covers deep learning (DL) methods, healthcare data, and applications using DL methods. The course includes activities such as video lectures, self-paced programming labs, homework (written and programming), and a large project.
The first phase of the course will include video lectures on various DL and healthcare applications, self-guided labs, and lots of homework. In this phase, you will build your knowledge and experience in developing practical deep learning models on healthcare data. The second phase of the course will be a large project that can lead to a technical report and a live demo of the deep learning models for solving specific healthcare problems. We expect the best projects to lead to scientific publications.
