Quiz Part 1: Neural Networks and Deep Learning Basics
1. Introduction to Neural Networks and Deep Learning (Chapter 1)
What is a perceptron in neural networks, and how does it work?
a) A perceptron is a multi-layer neural network with multiple activation functions.
b) A perceptron is the simplest type of neural network, consisting of a single layer that makes decisions based on linear combinations of the inputs.
c) A perceptron is a deep learning algorithm designed for complex pattern recognition tasks.
d) A perceptron is used only in unsupervised learning for clustering tasks.
Which of the following is NOT a technique for reducing overfitting in neural networks?