-dimensional spaces are a way of modeling datasets whose examples have attributes each.
Every example, 
, in the dataset is entirely described by its attributes, 
:
Intuitively, you can think about an example such as a row in ...
n-dimensional spaces
Get Hands-On Neural Networks with TensorFlow 2.0 now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
