Welcome to the final week of
this final course of this specialization.
There's a lot happening this week that
I hope you find fun and exciting.
You get to take sunspot data,
the real data and apply a 1D convnet to that.
So this is generalization of the 2D curve you see,
and on top of that and LCM and on
top of that it density or networks.
So a lot of pieces you've learned will come together
to help you build an effective sunspot prediction.
This specialization was called Tensor Flow in practice.
So one of the things that
Andrew and I have been really excited about
is helping you to be able to put
everything that you've been learning in
this specialization into practice.
So in this course we've been using
synthetic data for the last three weeks,
but we're now taking you away from the synthetic data and
giving you the real-world sunspot data
that Andrew mentioned;
convolutional neural networks and 1D cams,
LSTMs, deep neural networks,
we'll be able to mash them
all together and hopefully come up
with some nice prediction engines for sunspot activity.
So by the end of this week,
you have built a pretty
sophisticated neural network model
that it puts together many of these pieces.
By doing that, I hope you may be
able to start seeing how you could
maybe assemble these pieces you've learned in
Tensor Flow to build other rich neural networks as well.
So please go on to the next video.