1
00:00:00,360 --> 00:00:00,670
Hello.

2
00:00:00,690 --> 00:00:01,320
Welcome back.

3
00:00:01,320 --> 00:00:04,870
In this lesson we should talk a bit more about life as a unit.

4
00:00:05,520 --> 00:00:13,500
Let's examine this for Lee a new network this new network takes three input layer one has five units

5
00:00:13,760 --> 00:00:20,450
the two has five units the three has three unit and therefore has one unit.

6
00:00:20,820 --> 00:00:28,680
We often denote the number of layers of a neural network with a capital L number of units in a layer

7
00:00:28,770 --> 00:00:37,760
is denoted by N superscript square brackets L where l denote delay a number so that in our current neural

8
00:00:37,770 --> 00:00:45,670
network and superscript 1 is equal to 5 and and superscript 3 is equal to 5.

9
00:00:45,720 --> 00:00:55,080
And so on and so forth we denote activation in layer l by a superscript square bracket l mean that the

10
00:00:55,170 --> 00:01:02,850
input layer is sometimes referred to us layer a superscript 0 and the outputs layer which is the same

11
00:01:02,850 --> 00:01:08,420
as Y heart is sometimes denoted as a superscript copy to l.

12
00:01:08,560 --> 00:01:11,880
Now let's talk a bit more about the shapes.
