My interest in machine learning and neural networks led me to take up multiple online courses. I believe that online learning has given me opportunities and skills over and above what was possible for me to acquire as a EE undergrad.
Below is alist of most of the courses I have taken and completed:
Creative Application of Deep Learning - I
on KadenzeImproving Deep Neural Networks by DeepLearning.ai
on CourseraStructuring Machine Learning Projects by DeepLearning.ai
on CourseraNeural Networks and Deep Learning by DeepLearning.ai
on CourseraMachine Learning by Stanford University(Prof. Andrew Ng)
on CourseraProgramming for Everybody (Python) by University of Michigan
on CourseraDigital Image and Video Processing by Northwestern University
on CourseraMachine Learning A-Z™: Hands-On Python & R In Data Science
on UdemyConvolutional Neural Networks by DeepLearning.ai
on CourseraPractical Data Structures and Algorithms in Java
on UdemyCS229 - Machine Learning
on Stanford OnlineNeural Networks by University of Toronto (Prof. Geoffrey Hinton)
on CourseraPractical Deep Learning for Coders Part 1 v1(TensorFlow) & v2(PyTorch)
by fast.aiCutting Edge Deep Learning for Coders Part 2 v2(PyTorch)
by fast.aiWill be adding brief course descriptions soon.
Stay tuned!