This is an online summer research program I am running to improve your ability to do research in Deep Learning, with a focus on Computer Vision.
This crash course in python for absolute beginners is a great place for you to start your programming journey. This class primarily covers data structures, object-oriented programming, reading and writing to files, and much more!
If you are new to the world of Bioinformatics, then this protocol should be a pretty comprehensive guide for you to succeed in data mining, figure generation, and comprehensive analysis. Imagine this as almost a “Bioinformatics For Dummies” Book. Hopefully, you’ll gain valuable knowledge that you can take with you into your future experiments and studies!
An introductory course for deep learning. Topics range from simple regressions to advanced deep convolutional neural networks. You will also see how classification problems are solved via a variety of deep learning models.
Framing guidelines on Artifical Intelligence based Medical Devices for 21st-century healthcare.
Here, I compare how autoencoders and variational autoencoders (VAE)s fare when compared to baseline JPEG compression.
Here I discuss how I covered creating program content, revising manuscripts, and listening to my students throughout their learning processing
This course is a collection of important topics in Machine Learning. Some topics include Graph Theory, Recurrent Neural Networks, and Message Passing Networks.
From content creation to the final projects, here I discuss how teaching deep learning at the college level helped me become a better instructor.