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Next is the concept of straight, the first neuron in the conversely, Lear was looking at these sets

2
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of pixels.

3
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Now, the next neuron in deconditioning layer will have a slightly shifted, receptive field.

4
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Out the window.

5
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This shift, in the view from one neuron to another is called distrait.

6
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So if the next neuron is looking at these sets of pixels, you can see that this window, which is for

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the next neuron, is shifted to pixels to the right.

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So in this scenario, we see that this window has a straight off to each neuron on the convolutional

9
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layer will have a window shifted to pixels to the right.

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So if we continue this, the third neuron will be looking at a set of quantified pixels starting from

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here.

12
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So this will be the field of view for detail neuron and so on.

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Similarly, a strain of four means that you are taking a jump of four pixels when you look at the next

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neuron to the second neuron will straight away.

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Look at these sets of pixels, which is four pixels shifted towards debate.

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Now, if you use a small straight, then there will be a lot of overlap between these two deceptive

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feet.

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So if you look at this trade of two, you can see that this three by five rectangle is common between

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the receptive field of neuron one and deceptive.

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We love neuron to.

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Do we have fifteen pixels common for neuron one and you'd want to.

22
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But if you have a straight forward.

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In that scenario, only this single line is common for neuron one, a neuron to sow only five pixels

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are common.

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So there is small overlap.

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If this trade is large and there is larger overlap, if straight is small.

27
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Also if this trade is large.

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Since the overlap will be less, therefore fewer neurons will be required in the upper left.

29
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So if we have a straight off for many neurons in the upper layer, we'll be less than if we have a straight

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off to.

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So the stride will determine the size of a pallet and the amount of overlap and the deceptive feet.