1
00:00:00,000 --> 00:00:02,790
Congratulations, you've
reached the end of week three.

2
00:00:02,790 --> 00:00:04,680
This week, hopefully
you're excited

3
00:00:04,680 --> 00:00:06,855
as I was by some of
the things that you learned.

4
00:00:06,855 --> 00:00:08,610
When you looked at
Transfer Learning,

5
00:00:08,610 --> 00:00:10,560
just realize some of
the things that were there,

6
00:00:10,560 --> 00:00:12,180
that were available for you,

7
00:00:12,180 --> 00:00:14,460
that you were able to take
somebody else's model,

8
00:00:14,460 --> 00:00:15,810
a massive model that took

9
00:00:15,810 --> 00:00:18,300
a long time with a lot
of data to train from,

10
00:00:18,300 --> 00:00:19,770
but you were able
to build on that

11
00:00:19,770 --> 00:00:21,465
to make your models even better.

12
00:00:21,465 --> 00:00:23,370
I personally find
that something that's really

13
00:00:23,370 --> 00:00:26,010
inspiring and something
that really excites me.

14
00:00:26,010 --> 00:00:28,000
But next week we're going to
switch gears a little bit,

15
00:00:28,000 --> 00:00:29,550
and we're going to take
a look at moving from

16
00:00:29,550 --> 00:00:31,140
your binary classification to

17
00:00:31,140 --> 00:00:33,000
multi class
classification to just

18
00:00:33,000 --> 00:00:35,920
round out your toolbox.
I'll see you there.