RNN Tutorial for Beginners | Recurrent Neural Network | RNN In Deep Learning | Simplilearn

“️🔥 Michigan Engineering – Professional Certificate in AI and Machine Learning – https://www.simplilearn.com/professional-aiml-program?utm_campaign=6BIwspqL_Cs&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥IITK – Professional Certificate Course in Generative AI and Machine Learning – https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=6BIwspqL_Cs&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥Microsoft AI Engineer Program – https://www.simplilearn.com/ai-engineer-course?utm_campaign=6BIwspqL_Cs&utm_medium=DescriptionFFF&utm_source=Youtube
️️🔥 Applied Generative AI Specialization – https://www.simplilearn.com/applied-ai-course?utm_campaign=6BIwspqL_Cs&utm_medium=DescriptionFFF&utm_source=Youtube”

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

Explore our Free Introductory Course to Deep Learning and get a Completion Certificate: https://www.simplilearn.com/introduction-to-deep-learning-free-course-skillup?utm_campaign=24FebRNNTutorialForBeginners&utm_medium=Description&utm_source=youtube
✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

✅ Watch More Videos On Artificial Intelligence By Simplilearn: https://youtube.com/playlist?list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq

#RNN #RecurrentNeuralNetwork #RNNTutorialForBeginners #RNNTutorial #RNNWithPython #RNNProjects #SentimentAnalysis #SentimentAnalysisUsing Python #PythonDeepLearningTutorial #DeepLearning #MachineLearning #Simplilearn

➡️ About Artificial Intelligence Engineer

This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.
IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.

✅ Key Features
– Add the IBM Advantage to your Learning
– 25 Industry-relevant Projects and Integrated labs
– Immersive Learning Experience
– Simplilearn’s JobAssist helps you get noticed by top hiring companies

✅ Tools Covered
– ChatGPT
– Flask
– Matplotlib
– django
– Python
– Numpy
– Pandas
– SciPy
– Keras
– OpenCV
– And Many More…

👉 Learn More At: https://www.simplilearn.com/professional-aiml-program?utm_campaign=24FebRNNTutorialForBeginners&utm_medium=Description&utm_source=youtube