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.