Congratulations on coming to the end of
this TensorFlow and practice specialization.
In the four courses,
you learn how to build a deep neural network,
how to build a comf net,
how to build sequence models for NLP and finally,
how to build time series models.
You've built and you've learned a lot
of stuff in the specialization,
and I hope you give yourself
a pat on the back for getting to the end.
We've really come a long way,
if you remember our very first lesson is we did
two sets of numbers where
the relationship was y equals 2x minus 1.
We had a little DNN
that people use then to learn that and
to do that pattern matching of the x
against y, but since then,
we've gone into computer vision,
natural language processing, time sequence modeling,
sunspots, all that thing.
So I really think that you've really just
taken the first step though on a much bigger journey,
there's so much more stuff to learn.
One of the pieces of feedback that we get from
students is that they really love this,
but they want to learn more.
I always recommend that the other specializations
that Andrew has done that I've
personally learned from as well.
So if you really want to go into
more depth into for example,
how an LSTM works or how an RNN works,
or how even a convolution works,
there's some great material out there,
and we've designed these materials
to mesh with each other.
So if you really want to learn
in-depth, Andrew is the master,
and if you want to learn how to then apply
that to code and how to take that,
and put it into practice,
then this course and future courses that
we're working on will be really all around that.
So we hope to see you there.
As Lawrence said, I hope this is just a part of
your journey to become great at deep-learning.
The deep learning specialization compliments this one,
and so if you want to go into greater depth,
you can check that out too.
There's still more to learn. So Lawrence and
I are still going to be continuing to
build additional specializations to
help you learn even more about TensorFlow.
Looking forward to it.
Working with Lawrence has been the highlight of
these past few months and I look
forward to building more courses together.
To all of you that stuck
with us throughout all this period,
thank you for all the hard work you put
into learning these things and keep watching the space,
we'll have more things for you in the future.
Thank you.