My Dev Blog

After finishing the Deep Learning specialization on Coursera, I was intrigued by one of the programming exercises in the course Sequence Models. This is the course where we learn about RNN or Recurrent Neural Networks, a powerful way of analyzing and generating text and music. The specific assignment involved making up unique dinosaur names character by character. It was a fun exercise for sure. At the end of the course, I wanted to build my own text generator based on a dataset. I also wanted to generate text on a word by word basis and not on a character basis. Furthermore I wanted to do some hands-on programming for AI/ML outside the confines of the assignments in the deep learning course. I firstly wanted to setup my ML environment with the necessary software. Hardware wise, I was covered (perks of being a gamer :) Ryzen 5 1600, 16GB RAM, NVIDIA 1070). I looked at a few blogs and tried going the Linux route but honestly, I'd spent almost the whole day trying to get th...

Around 2014-2015, the hype around ML/AI was growing quite big so I had to see for myself what it was all about. MOOCs (Massive Open Online Courses) had also gained quite the popularity by then. So I decided to kill two birds with one stone by taking arguably the most famous course on Coursera, the Machine Learning course taught by Stanford Prof Andrew Ng. (He's to AI what Carl Sagan was for astronomy IMO) I finished the course successfully but didn't really pursue the matter any further, education wise or dev wise. The course, however, definitely did help maintain an interest in ML/AI related technologies. I kept myself updated with the latest happenings in that sphere mostly bu subscribing to the subreddit r/machinelearning (which is quite good btw, with interesting AMA {Ask me anything} sessions from the foremost experts on AI). Enter the Deep Learning course , taught by, you guessed it. Andrew Ng. Now I was very interested in taking it when it released (arou...