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This video on RNN Tutorial for Beginnersby Simplilearn will take you through the concept of Recurrent Neural Network and why it is used in the industry. This RNN tutorial covers Recurrent Neural Network in detail with suitable examples. In addition, we will use the Twitter dataset for the sentiment analysis using RNN in Deep Learning. Below are the topics we are covering in this RNN tutorial for Beginners.

00:00 RNN tutorial for Beginners
02:56 What is RNN?
03:25 Why Recurrent Neural Network?
03:52 How does Recurrent Neural Network work?
04:49 Types of Recurrent Neural Network
05:35 Applications of Recurrent Neural Network
06:20 Hands-on-lab-demo

What Is Recurrent Neural Network (RNN)?

RNN works on the principle of saving the output of a particular layer and feeding this back to the input in order to predict the output of the layer.

Types of Recurrent Neural Networks

There are four types of Recurrent Neural Networks:

1. One to One RNN
2. One to Many RNN
3. Many to One RNN
4. Many to Many RNN

Applications of Recurrent Neural Networks

1: Time Series Prediction
2: Natural Language Processing
3: Machine Translation
4: Image Captioning

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️ About Post Graduate Program In AI And Machine Learning

Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

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