RNN Model Details | Recurrent Neural Networks | Deep Learning

In this video, we will look at the details of the RNN Model. We will see the mathematical equations for the RNN model, and understand how one RNN Cell looks like.
Recurrent Neural Network (RNN) in Deep Learning is a model that is used for Natural Language Processing tasks. It can be used to create applications like chat-bot, virtual assistants, speech-to-text, or text-to-speech.
In a Recurrent Neural Network (RNN), the input can be of any length and output can also be of variable length. This makes it useful in dealing with texts processing.
Later we will also see how RNN Cell will look like for the many-to-one type of RNN model. As well as, we will also see how the model looks like when we have 2 RNN cells in our network.
Once you understand Recurrent Neural Network, you will be able to create amazing applications yourself!
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Timestamps:
0:00 Intro
1:22 Input Processing
3:08 RNN Cell Details
5:42 RNN Cells through different time
7:23 Two RNN Cells in a Network
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Follow my entire playlist on Recurrent Neural Network (RNN) :
📕 RNN Playlist: • What is Recurrent Neur...
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✔ CNN Playlist: • What is CNN in deep le...
✔ Complete Neural Network: • How Neural Networks wo...
✔ Complete Logistic Regression Playlist: • Logistic Regression Ma...
✔ Complete Linear Regression Playlist: • What is Linear Regress...
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[@dveerraju1852]

Simple and nice explanation my dear friend.

[@khushindpatel]

Please continue this it's just awesome!!

[@CodingLane]

Sure! Thanks 😇

[@engr.inigo.silva2000]

Amazing!

[@nharrshavardhannag7509]

Best explanation ❤❤

[@Kapilwankhede22]

awesome explanation ,... !!! Keep creating more videos ..

[@user_userovich]

Best course! Can't stop watching🙈

[@CodingLane]

Haha… glad to hear 😁

[@lilrun7741]

Andrew NG denoted the notation for output of each layer as y_hat^, and its look like your next video denoted the notation of that as O^ instead to avoid overlapping with the notation used as predicted value as hardmax (y_hat). Is that right?

[@xfregas2682]

i love your videos, keep going bro

[@CodingLane]

Thank you so much!

[@zshahlaie4740]

u are the bestttttttttt tnxxxxxxxxxxxxxxxxxx

[@mustafatuncer4780]

Is the dot-product followed by dot-addition operation actually a shorthand representation for the linear layer?

[@sazzadhasan4006]

can you please suggest a book for learning RNN ...

[@user-pj9ue2ct8l]

Hi! i want to learn text detection from images using RNN. Please if you can help ???

[@SaitejaswiChintagumpula]

can i get word notes for this

[@nehasehta7762]

The term ‘a’ u r using as activation is quite confusing, it should be state. Rest is the best.

[@gabrieldodan]

How you decide/choose the number of cells? 🤔

[@pagadalasumanth7969]

Depends on a lot of factors such as size and quality of your dataset (And many more...)

[@kunalnenwani7808]

Bhai mere college mein sikhane ka kitna paisa loge? xD

[@CodingLane]

Hehe… good compliment 🫣