Happy Holidays people! If you live in the Bay Area then the next week is probably your time off, so I hope you have fun and enjoy the holiday season! As for Robotics, I just finished Week 2 of Perception, and will probably kick off Week 3 in 2018. I am excited for the last ‘real’ course (Estimation & Learning), and then building my own robot as part of the ‘Capstone’ project after that :-D. This week’s articles: […]
Hebbian Learning in Neural Networks One major difference between human and machine learning is the way we retain important aspects of our knowledge, as we gather more data. All throughout our life, we keep enforcing those concepts/facts which help us most in our day-to-day activities. ML algorithms are much less selective – if you train a NN to perform task A and then retrain it to perform task B, the parameters for A will be forgotten ‘uniformly’. This […]
The Mobility Robotics course is finally done, and I just started Perception. It seems to be way more concept-heavy than any of the other courses, but I like the content from Week 1 so far! I did not like Mobility as much, since it focussed exclusively on theory, and the content assumed a fair amount of comfort with kinematics/dynamics (which I don’t have anymore). Anyway, off to the articles for this week: AI & the Blockchain This article […]
Missed a post last week due to the Thanksgiving long weekend :-). We had gone to San Francisco to see the city and try out a couple of hikes). Just FYI – strolling around SF is also as much a hike as any of the real trails at Mt Sutro – with all the uphill & downhill roads! As for Robotics, I am currently on Week 3 of the Mobility course, which is more of physics than ‘computer […]