I have been thinking of buying a new 24mm lens, so this weekend I challenged myself to only take pictures with that focal distance. Not zooming is hard, especially when taking photos of strangers you don’t want to get too close to. Here is the outcome: More...
I have spent a lot of time lately trying to understand, and playing around with, computer vision, deep learning, reinforcement learning, and other machine learning models. Between Stanford’s Convolutional Neural Networks for Visual Recognition course, Trask’s neural stack explanation, playing snake with Keras and creating image analogies, I have spent a lot more time than usual coding and training machine learning models after work. More accurately, I have spent hours poring over complex equations I don’t yet fully understand, and waiting for models to converge.
Even if you are not a computer scientist, you should read the intro to reinforcement learning linked below. With some understanding of economic modeling, and a bit of effort, you’ll get the basics of how a system like AlphaGo works. Machine, or otherwise, learning is fun.
I was born and raised in an extremely tight knit community. With time, we have drifted apart, and I continue to distance myself from it, both in terms of my day-to-day experiences, as well as my expectations from the future. This article’s ideas ring very true: those who stayed back home are probably happier than me.
While VR seems really interesting, I am way more excited about AR. Much more of a question mark.
This makes me want to play with Keras. Happy that python is the language of choice for much of Machine Learning.
Today we walked from Hannah’s apartment to Potrero Hill. More...