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

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
Do you want to learn technology from me? Check codebasics.io/ for my affordable video courses.
🌎 Website: www.codebasics.io/
#️⃣ Social Media #️⃣
🔗 Discord: / discord
📸 Instagram: / codebasicshub
🔊 Facebook: / codebasicshub
📱 Twitter: / codebasicshub
📝 Linkedin: / codebasics
❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

[@codebasics]

Do you want to learn technology from me? Check codebasics.io/ for my affordable video courses.

[@sanjaisrao484]

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

[@sumit121285]

Sir , kya bolu.. you are simply superb.....i m a true fan of yours.....thanks a lot sir....

[@learnwithbirju]

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.

[@bluewonk9232]

Thank you !

[@sanooosai]

thank you sir

[@debatradas9268]

thank you so much

[@chanelmalith]

nice work

[@jayasreechaganti9382]

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

[@hoaxuan7074]

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, i=0 to m. The net then is transform, functions, 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.

[@anirudhgangadhar6158]

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 ?

[@shahzadahmad1224]

Sir this type of error is showing abortederror: operation received an exception:status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:433 Sir,kindly resolve this issue.

[@ansarbashashaik4345]

Sir please make videos on encoders decoders

[@ousmanealamakaba3135]

Follow the all playlists .he has done it .

[@krishnabahadurthapa6571]

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

[@bhavyamendiratta4781]

When will Ms in data analytics video come?

[@codebasics]

scheduled it for 9 pm IST today.

[@teshomemulugeta.]

Sir till ur not release OCR

[@hoaxuan7074]

Dude.

[@codebasics]

Bro...