Hello and welcome to this new section, recurrent neural network.
Let us begin a recurrent neural network is a class of artificial neural network in Veach.
The neurons are able to send feedback signals to each other.
A recurrent neural network has a memory which remembers all the information about Vork has been calculated
in simple words.
We can say that the recurrent neural networks are the artificial neural networks with the ability to
send feedback signals.
And in our CNN excepts of fixed size of Victor as an input and produce a fixed size vector as an output.
Whereas adenine allow us to operate over a vector sequences that in sequences, in input sequences,
in output, all sequences in both input and output.
As you can see here in this picture, this is a single neuron in recurrent neural network.
No, no, down at the unfolded side of neuron.
These are not three different neurons.
It is a single neuron.
But the timestamp is different.
So these are the three times stands B minus one, B and D plus one after folding these three timestamps.
We get a neuron like this at the left hand side.
So this way, a single neuron is transmitting its output to its input.
And then an entire network does that.
Then it is called as recurrent neural network.
So this is the recurrent neural network.
This network is giving back its output to the network again.
So this is all about the introduction to the current neural network.
I will see you in the next it odille till then.
Happy learning.