In a case study involving natural language processing, which type of neural netw
Practice Questions
Q1
In a case study involving natural language processing, which type of neural network is often used?
Convolutional Neural Network (CNN)
Recurrent Neural Network (RNN)
Feedforward Neural Network
Radial Basis Function Network
Questions & Step-by-Step Solutions
In a case study involving natural language processing, which type of neural network is often used?
Step 1: Understand what natural language processing (NLP) is. It involves teaching computers to understand and work with human language.
Step 2: Learn about different types of neural networks. These are models that help computers learn from data.
Step 3: Identify the type of data used in NLP. This data is often sequential, meaning it comes in a specific order, like sentences in a paragraph.
Step 4: Discover that Recurrent Neural Networks (RNNs) are designed to work with sequential data. They can remember previous information, which is important for understanding language.
Step 5: Conclude that RNNs are commonly used in NLP because they can effectively process and analyze text data.
