Welcome back. In this course,
you'll learn how to use TensorFlow to process
texts for natural language processing.
Unlike images, which come in
these regular shaped tensors of pixel intensity values,
Text is messier, there are long sentences,
there are short sentences.
Do you want to process individual characters
alphabets or do you wanna process words?
So in this course,
you learn how to deal with all that.
Yes. So like in our first week as
well we're going to take a look at what it takes
for you to process text
because neural networks generally deal in numbers.
The zero functions,
calculating weights and biases is all numbers.
So how are we going to convert
our texts into numbers in a sensible way?
Given a word like cat,
how do you turn that into a set of
numbers that you can feed into neural network?
Exactly. Then if I have cat,
then what's dog going to look like?
All of those kind of things.
Then multiple length sentences as well.
How do we deal with padding them?
Or if you've got like
a body of words that you use for training,
and then you have another body of
words that you want to actually predict on,
but you're going to have some words in
this body that aren't in that one.
How do you deal with out of vocabulary tokens
and that kind of things?
There's going to be a lot of fun.
Yeah. So in this first week,
you learn how to load in the texts,
pre-process it and set up your data
so it can be fed to a neural network.
I'm really excited. In this course,
you'll learn how to deal with texts using TensorFlow.
So let's go on to the next video to get started.