Types of RNN | Recurrent Neural Network Types | Deep Learning Tutorial 34 (Tensorflow & Python)

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In this video we will discuss different types of RNN types such as,
1) One to many
2) Many to many
3) Many to one

#typesofrnn #rnnindeeplearning #recurrentneuralnetworktypes #deeplearningtutorial #rnntypes #deeplarningrnn

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❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

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Hi @codebasics, My self Brijesh Sonraj from Gujarat. it's really nice have your tutorial series regarding pandas/machine learning/deep learning I have gone through it. I have great of experience in Python but really not much data analysis till the point I have seen your tutorial series. Thanks again to have these tutorials.

learnwithbirju

wow, even though I am a non techie I understood these concepts, hats off for Ur amazing explanation, so much things to learn from u

sanjaisrao

Sir, kya bolu.. you are simply m a true fan of a lot sir....

sumit

Sir can you do a video of Rnn example by giving numerical values

jayasreechaganti

I'm not sure if I talked with you about Fast Transform fixed-filter-bank neural networks? If not there is some blog on the internet. You can use the fast Walsh Hadamard transform as a source of low cost fixed dot products. Then you swap what is adjusted in a net using parametric activation functions like fi(x)=ai.x x<0, fi(x)=bi.x x>=0, i=0 to m. The net then is transform, functions, transform,
For technical reasons it is a good idea to apply a fixed randomly chosen pattern of sign flips to the input of the net.

hoaxuan

Sir please make videos on encoders decoders

ansarbashashaik

1:27 - Since we only have translated outputs after a[4], what is the need for activations a[5] and a[6] ? Am I missing something here ?

anirudhgangadhar

Sir this type of error is showing

abortederror: operation received an exception:status: 5, message: could not create a view primitive descriptor, in file

Sir, kindly resolve this issue.

shahzadahmad

When will Ms in data analytics video come?

Bearcat

how to make model where output of lstm is input in Bayesian neural network

krishnabahadurthapa

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