Hi everyone,
Happy New Year!
I am from Singapore. My background is in software engineering. I quit my job early of Dec last year to focus on my study. I am currently transitioning to be a deep learning engineer at a startup working on medical diagnostic. Prior to that, I was working full-time in a local consulting company providing web and mobile app development services to our clients around the world. I am an ‘expert’ generalist and self learner/life-long learner.
I first got to know deep learning when I visited Stanford CS231n website where there’s a demo model training live in the web browser. Out of curiosity, I dig deeper and found it was created by Andrej Karpathy who was at that time the co-lecturer for CS231n. So, I started learning neural network in JavaScript through that demo. Strangely, I don’t understand a thing about neural network at that point of time. So, I keep looking and discovered Andrew Ng’s Stanford Machine Learning course and I completed it about 2 years ago. This give me enough grounding to study CS231n course where we learn to develop deep learning model for Convolutional Neural Network (CNN) from scratch by hand using just Python and numpy.
When Part 1 v1 of the course just released to the public, I took the chance to study and completed it. I didn’t manage to complete Part 2 v1 due to my full-time job obligations. With the “soft-launch” of Part 1 v2 and in conjunction to Nurture.ai’s AI Saturdays global initiatives kicking off this week, I am planning to re-take Part 1 v2 seriously together with some local study groups here. I think it’s worth doing. On top of that, I think we can learn PyTorch and the new fastai library. What not to love. 
Thank you to Jeremy and Rachel for the awesome course. 