I just learned about this course from Washington University in St. Louis from Spring 2018, which is also available online. It is by Jeff Heaton, Ph.D., a lead data scientist and adjunct instructor. The course is T81-558 and it's called Applications of Deep Neural Networks.
So, I won't be getting into too many details, but this course:
- introduces convolutional neural networks (CNNs)
- long short-term memory (LSTM) for time series
- classical neural nets applied to security
- high-performance computing (HPC) and GPUs
- and many more.
What's great about this is that the assignments and projects are available in notebooks so you can easily and conveniently do them in your browser. We've had these types of assignments during the courses from Andrew Ng's Deep Learning specialization and, to be honest, I've worked on them with great joy - and some frustration (because of the buggy grader).
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Cristi Vlad Self-Experimenter and Author
According to you, is it worth devoting my time, if I have completed Dr. Ng's specialization on deep learning and CS224d (NLP) by Stanford University?
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Well, if you did that, you're probably very well acquainted with Deep Learning. Thus, I'd rather be focusing at applying what's learning - in specific projects. You have free datasets online and the knowledge to build your neural net with tensorflow. Put that to work!
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