Welcome to the second week of this course.
You learned about how to compute
statistical analysis of a time series.
In this week, you'll learn to apply
a new network to these sequences.
Yeah, we'll start with a relatively simple DNN,
and if you remember DNNs all the way
back like at the beginning of the specialization,
so you're going to be able to bring those skills
to bear on time-series data.
So we're going to build a very simple DNN
just like a three-layer DNN.
Then one technique though that's I
find really useful that you're going to learn this week,
is being able to tune the learning rate of the optimizer.
We'll all spent a lot of time hand-tuning learning rate.
One of my most distinctive memories from couple of
decades ago was a summer intern at
Microsoft research staying up until
3:00 AM in the office, hand-tuning learning rates.
I wish I could tune my own learning rate sometimes.
So I think giving people a systematic way to do this,
will be very useful.
Yeah. I think so,
and I know I've spent too many sleepless nights at it.
So we tried to automate it here and so teach you
a technique for automating
it and hopefully it'll be useful,
and hopefully it'll help you to start learning
how to predict your time series data.
By the end of this week, you have trained DNN on time
series data that you saw last week
and you get to see how well it does.
Please go onto to the next video.