#65 Introduction to RNNs | Machine Learning for Engineering & Science Applications

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture introduces recurrent neural networks (RNNs), which are a type of neural network that is well-suited for processing sequential data. RNNs have a hidden state that is updated at each time step. This allows RNNs to "remember" information from previous time steps. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #RNN #RecurrentNeuralNetwork #ANN #CNN #SequentialInformation #NaturalLanguageProcessing

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#66 Example | Sequence Classification | Machine Learning for Engineering & Science Applications
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#66 Example | Sequence Classification | Machine Learning for Engineering & Science Applications

1: Introduction to Neural Networks and Deep Learning; Training Deep NNs
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1: Introduction to Neural Networks and Deep Learning; Training Deep NNs

#49 Introduction to Convolution Neural Networks (CNN)
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#49 Introduction to Convolution Neural Networks (CNN)

#47 Introduction to Back Prop | Machine Learning for Engineering & Science Applications
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#47 Introduction to Back Prop | Machine Learning for Engineering & Science Applications

Lec 01. Introduction to Deep Learning
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Lec 01. Introduction to Deep Learning

#29 Bias Variance Trade Off | Machine Learning for Engineering & Science Applications
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#29 Bias Variance Trade Off | Machine Learning for Engineering & Science Applications

But what is a neural network? | Deep learning chapter 1
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But what is a neural network? | Deep learning chapter 1

Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker
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Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker

#46 Feedforward Neural Network | Machine Learning for Engineering & Science Applications
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#46 Feedforward Neural Network | Machine Learning for Engineering & Science Applications

Norwegen – Senegal Highlights | Gruppe I, FIFA WM 2026 | sportstudio
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Norwegen – Senegal Highlights | Gruppe I, FIFA WM 2026 | sportstudio

6. Monte Carlo Simulation
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6. Monte Carlo Simulation

Convolutional Neural Networks | CNN | Kernel | Stride | Padding | Pooling | Flatten | Formula
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Convolutional Neural Networks | CNN | Kernel | Stride | Padding | Pooling | Flatten | Formula

Backpropagation, intuitively | Deep Learning Chapter 3
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Backpropagation, intuitively | Deep Learning Chapter 3

Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
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Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)

The Most Important Algorithm in Machine Learning
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The Most Important Algorithm in Machine Learning

Every Machine Learning Model Explained in 15 minutes
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Every Machine Learning Model Explained in 15 minutes

#1 Introduction to the Course History of Artificial Intelligence
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#1 Introduction to the Course History of Artificial Intelligence

AlphaFold - The Most Useful Thing AI Has Ever Done
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AlphaFold - The Most Useful Thing AI Has Ever Done