Next is the concept of straight, the first neuron in the conversely, Lear was looking at these sets
of pixels.
Now, the next neuron in deconditioning layer will have a slightly shifted, receptive field.
Out the window.
This shift, in the view from one neuron to another is called distrait.
So if the next neuron is looking at these sets of pixels, you can see that this window, which is for
the next neuron, is shifted to pixels to the right.
So in this scenario, we see that this window has a straight off to each neuron on the convolutional
layer will have a window shifted to pixels to the right.
So if we continue this, the third neuron will be looking at a set of quantified pixels starting from
here.
So this will be the field of view for detail neuron and so on.
Similarly, a strain of four means that you are taking a jump of four pixels when you look at the next
neuron to the second neuron will straight away.
Look at these sets of pixels, which is four pixels shifted towards debate.
Now, if you use a small straight, then there will be a lot of overlap between these two deceptive
feet.
So if you look at this trade of two, you can see that this three by five rectangle is common between
the receptive field of neuron one and deceptive.
We love neuron to.
Do we have fifteen pixels common for neuron one and you'd want to.
But if you have a straight forward.
In that scenario, only this single line is common for neuron one, a neuron to sow only five pixels
are common.
So there is small overlap.
If this trade is large and there is larger overlap, if straight is small.
Also if this trade is large.
Since the overlap will be less, therefore fewer neurons will be required in the upper left.
So if we have a straight off for many neurons in the upper layer, we'll be less than if we have a straight
off to.
So the stride will determine the size of a pallet and the amount of overlap and the deceptive feet.