What is RNN Neural Network | Recurrent Neural Network in Deep Learning | Intellipaat
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In this video, we provide a comprehensive overview of Recurrent Neural Networks (RNNs). RNNs are artificial neural network that excels at processing sequential data, making them a powerful tool in various fields such as natural language processing, speech recognition, and time series analysis. We cover the architecture of RNNs, including their recurrent connections and hidden states, and discuss different types of RNNs like LSTM and GRU. We also explore the applications, advantages, and limitations of RNNs, along with best practices for training and optimizing RNN models. Join us as we unravel the mysteries of RNNs and their potential for solving real-world problems. Don't forget to like, comment, and subscribe for more informative videos on machine learning and AI!
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🔵 Following topics are covered in this session:
0:00 - Introduction
1:24 - Deep Sequential Modeling
3:16 - Difference Between the Feed-Forward and Sequence Modeling
14:06 - Mathematical Intuition behind Recurrent Neural Network
19:19 - Design Criteria for RNN Modeling
20:24 - Backpropagation through time in RNN
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