Courses

My interest in machine learning and neural networks led me to take up multiple online courses. Online learning has given me opportunities and skills over and above what was possible as an EE undergrad.

1. Creative Application of Deep Learning - I on Kadenze
2. Improving Deep Neural Networks by DeepLearning.ai on Coursera
3. Structuring Machine Learning Projects by DeepLearning.ai on Coursera
4. Neural Networks and Deep Learning by DeepLearning.ai on Coursera
5. Machine Learning by Stanford University (Prof. Andrew Ng) on Coursera
6. Programming for Everybody (Python) by University of Michigan on Coursera
7. Digital Image and Video Processing by Northwestern University on Coursera
8. Machine Learning A-Z: Hands-On Python & R In Data Science on Udemy
9. Convolutional Neural Networks by DeepLearning.ai on Coursera
10. Practical Data Structures and Algorithms in Java on Udemy
11. CS229 - Machine Learning on Stanford Online
12. Neural Networks by University of Toronto (Prof. Geoffrey Hinton) on Coursera
13. Practical Deep Learning for Coders Part 1 v1 (TensorFlow) & v2 (PyTorch) by fast.ai
14. Cutting Edge Deep Learning for Coders Part 2 v2 (PyTorch) by fast.ai