Recurrent Neural Networks Tutorial | RNN Networks | Deep Learning Tutorial | Intellipaat
27This “Recurrent Neural Networks Tutorial” will help you understand what is a Recurrent Neural Networks, How Recurrent Neural Networks Works. Next, we will move forward with Training an RNN Network, Types of RNNs.We will also be covering the Advantages and Limitations of RNN at the end of the video.
🔵 What is RNN?
A recurrent Neural Network (RNN) is a type of Neural Network in which the previous step's output is fed as input to the current step. In traditional neural networks, all inputs and outputs are independent of one another; however, when predicting the next word of a sentence, the previous words are required, and thus the previous words must be remembered. Thus, RNN was born, which solved this problem with the help of a Hidden Layer.
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🔵 Following topics are covered in this session:
0:00 - Introduction to Recurrent Neural Networks
1:08 - What is Recurrent Neural Networks?
5:20 - How does Recurrent Neural Networks Works?
6:20 - Training a Recurrent Neural Networks Network
7:48 - Types of RNN
9:53 - Advantages of RNN
10:25 - Limitations of RNN
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