What is a neural network?
Q: What is a neural network?
A: A neural network (also called an ANN or an artificial neural network) is a sort of computer software, inspired by biological neurons. It is made up of cells that work together to produce a desired result, although each individual cell is only responsible for solving a small part of the problem.
Q: How does a neural network compare to biological brains?
A: Biological brains are capable of solving difficult problems, but each neuron is only responsible for solving a very small part of the problem. Similarly, a neural network is made up of cells that work together to produce a desired result, although each individual cell is only responsible for solving a small part of the problem.
Q: What type of program can create artificially intelligent programs?
A: Neural networks are an example of machine learning, where a program can change as it learns to solve a problem.
Q: How can you train and improve with each example in order to use deep learning?
A: A neural network can be trained and improved with each example, but the larger the neural network, the more examples it needs to perform well—often needing millions or billions of examples in the case of deep learning.
Q: What do you need in order for deep learning to be successful?
A: In order for deep learning to be successful you need millions or billions of examples depending on how large your neural network is.
Q: How does machine learning relate to creating artificially intelligent programs?
A: Machine learning relates to creating artificially intelligent programs because it allows programs to change as they learn how to solve problems.
