Hello.
Welcome back.
In this lesson we should talk about the basic data types often used in machine learning potential.
It's a basic data structure in machine learning.
It is the container of data.
This is what tensile floor gets its name attached so of a single number is known as scalar.
For example the variable x is a scalar a time sort of one dimension is known as a vector.
The D example X over here is a one dimensional tensor and also a four dimensional vector because it
has four elements.
We can have a tense or with arbitrarily large dimension for example.
This is a 3D tensor or the number of axes of a tennis or is known as the rank the rank of a 3D tensor
or is three on the rank of a two detects or is to the shape of a tennis or implies the dimension along
each axis of the tensile x.
In this example has a shape of two by two and Y has a shape of two by three right.
This order is for this very short.
Listen I'll see you later.