Which of the following is a challenge when applying neural networks in real-worl
Practice Questions
Q1
Which of the following is a challenge when applying neural networks in real-world applications?
High accuracy
Overfitting
Low computational requirements
Simplicity of models
Questions & Step-by-Step Solutions
Which of the following is a challenge when applying neural networks in real-world applications?
Step 1: Understand what a neural network is. It is a type of computer program that learns from data.
Step 2: Learn about training data. This is the data we use to teach the neural network.
Step 3: Know what overfitting means. It happens when the neural network learns the training data too well, including noise and details that don't matter.
Step 4: Realize the problem with overfitting. If the neural network is too focused on the training data, it won't perform well on new, unseen data.
Step 5: Understand that this is a challenge in real-world applications because we want the neural network to generalize well to new situations.
