Neural nets process information by passing it through a hierarchy of interconnected layers, somewhat akin to the brain's biological circuitry.
Not exact matches
To make sense of all of this data, a new onboard computer with over 40 times the computing power of the previous generation runs the new Tesla - developed
neural net for vision, sonar and radar
processing software.
If you think of this
neural net as a sequence of steps, where you're
processing information at each step and feeding it to the next one, then one of the goals from the algorithmic standpoint is to reduce that to the smallest number of steps yet get the same results.
Building a model for ramen classification from scratch would be a time - consuming
process requiring multiple steps — labeling, hyperparameter tuning, multiple attempts with different
neural net architectures, and even failed training runs — and experience as a data scientist.
Deep
neural net - based machine learning algorithms to
process messages from voice - based devices to understand end - user input and take action;