MIT's Introduction to Deep Learning 6.S191 is a comprehensive course for those interested in learning the foundations of deep learning. Led by Alexander Amini, the course covers topics such as the perceptron, neural networks, loss functions, training and gradient descent, backpropagation, setting the learning rate, batched gradient descent, and regularization. With slides and lab materials available at http://introtodeeplearning.com/, this course is perfect for those looking to gain a better understanding of deep learning. Subscribe to stay up to date with new lectures or follow @MITDeepLearning on Twitter and Instagram to stay connected!
Deep Learning Explained
5.0
Edx1,829 learners
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Deep learning is a powerful tool for AI-powered technologies. This course provides an intuitive approach to building complex models that can solve real-world problems with human-like intelligence. Learn how to use the Microsoft Cognitive Toolkit to harness the intelligence within massive datasets through deep learning with speed, accuracy, and scalability. Financial assistance is available for those who need it. Enroll now and unlock the power of deep learning!
Practical Deep Learning For Coders
4.0
ThaiMOOC28,940 learners
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This 7-week course is designed to help coders with at least one year of experience and some knowledge of high-school math to learn practical deep learning. From setting up a GPU server to creating state-of-the-art models for computer vision, natural language processing, and recommendation systems, this course covers it all. With around 20 hours of lessons, it requires about 10 hours of work per week for 7 weeks to complete. The course is based on lessons from the first certificate course at The Data Institute at USF and Part 2 will be available online in May 2017.
Deep Learning for Healthcare
1.5
Coursera1,771 learners
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This specialization in Deep Learning for Healthcare is designed for those interested in applying machine learning to medical applications. It covers topics such as health data analysis, different types of neural networks, and training and application of neural networks on real-world medical scenarios. Whether you are a machine learning expert or a medical professional, this specialization will provide you with the knowledge and skills to make a difference in healthcare.
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