Next is the concept of straight the first neuron in the conversion layer was looking at these sets of
pixels.
Now the next neuron in the conversion layer will have a slightly shifted receptive field or the window
this shift in the view from one neuron to another is called the Straight so if the next neuron is looking
at these actual 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 of to each neuron on the convolution 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 the third neuron and so on similarly a straight or forward 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 delayed.
Now if you use a small straight then there would be a lot of overlap between these two deceptive feet
so if you look at the state of two you can see that this three by five rectangle is common between the
receptive field of neuron 1 and deceptive field of neuron 2 2.
We have 15 pixels common for neuron 1 and you don't do.
But if you have a straightforward in that scenario only this single line is common for neuron 1 and
neuron do so only 5 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 layer so if we have a trade off for many neurons in the upper layer will be less than if
we had a straight of to so the trade will determine the size of a player and the amount of overlap in
the receptive field.