So far, we’ve seen how MLPs can be used for parametric machine learning. The MLP outputs one or more values, we give this to a loss function and we use …
Gradient Descent is an optimising algorithm used in Deep Learning algorithms. The goal of Gradient Descent is to minimise the objective convex function f(x) using iteration. It’s time to get …
“Data is the new oil. / Like oil, data is valuable, but if unrefined it cannot really be used.” – Clive Humby (Mathematician) / Michael Palmer (Advertiser) Data and Machine …
Content Warning: At the beginning of this article, there is a short factual description of a fatal accident involving an autonomous vehicle. The remainder of the article explores contributory factors …
A machine learning system uses training data to learn a function that maps inputs to outputs. But will the system produce sensible output when presented with input it has never …
What is a machine learning model? A machine learning model is a program or a file that applies statistical/mathematical techniques in order to recognise certain types of patterns present in …
Self-driving vehicles clearly have the potential to produce both benefit and harm to individuals in society. In order to reach useful conclusions about these kinds of questions, it is important …
What is safety engineering? Safety is about avoiding harm that results from accidents. In order to do that, we need to think about how accidents can be caused, and avoid …
We have discussed several sensors that can be added to image sensors to make our autonomous vehicles safer and more reliable. We can look at some of the sensors, their …
Elements like perception, localisation, planning, and control are necessary for the success of any autonomous vehicle. Autonomous vehicles make use of a suite of sensors to collect data from its …
Determining optimal routes in road networks from a given source to a given target location is a problem frequently addressed in everyday life. Typically, frames from a video camera are …
As machine learning engineers, part of our job is to decide on the form of the function that maps inputs to outputs. We’re going to take a brief historical look …