You made it to the Neural Network series finale! It’s been a fascinating journey, but there’s still work to be done and questions to answer. So saddle up, grab a drink, and let’s jump right in. The Jupyter notebooks mentioned throughout can be found here. Experiment 1-1: Less Filters It’s often the case that clients […]
How Useful is Feature Visualization? Welcome back! This post marks Part 3 in our ongoing series on neural understanding, where we work through a practical example with some representative techniques in order to understand what and how a neural network has learned. While Part 2 walked through a sample problem, this post contains a collection […]
THE RUNNING EXAMPLE Welcome back! For those just joining us, we encourage you to take a look at our first post in the neural understanding series to make sure you are up to date. In that article, we described our intention to take a neural network through the various techniques of neural understanding to see […]
The year is 2020, and the ongoing quest for improvement has led to a blast from the past: LiDAR. Just when it felt like augmented reality hit a wall with detection and recognition of scenes and objects, LiDAR provides a breath of fresh air to advance AR to the next level.
The life of a developer is often incredibly rewarding. We get to take an idea for an app or software that doesn’t currently exist and bring it to life through code! However, that’s not to say there isn’t a fair share of headaches acquired along the way, but if it were easy everyone would be […]