What is the difference between neural network, artificial intelligence, machine learning, deep learning?

Question

Neural networks

Can you please answer what is the difference (between neural network, artificial intelligence, machine learning, deep learning)?
I just started just answer in simple words?

Answer 1

Neural network - a network of neurons interconnected by connections, obviously.
Artificial intelligence is an emulation of intelligence, it is not necessarily a neural network, it can also be a finite state machine (although this is more of an imitation).
Machine learning is essentially filling an artificial neural network with information.
Deep learning is a subset of machine learning.

Answer 2

Differences between artificial intelligence, machine...
Quick summary:
And a couple more links:
Artificial neural networks in simple words
Neural networks from scratch. Overview of courses and articles in Russian...
Neural networks for dummies. Start

Answer 3

A neural network, roughly speaking, is an imitation of the processes in our brain, adapting to new conditions. I guess you know about it. Actually, because of the desire of developers to bring neurons as close as possible to our, human, brain, it is called neural.
Artificial intelligence, as one of the respondents correctly put it, is an imitation of thinking, but this does not mean that it should use neural networks at its core. AI, ideally, is an artificial intelligence capable of ABSOLUTELY independently making decisions, meaningfully answering questions. But, since a person has not even studied his own brain enough yet, there is a blurring of what, in fact, AI should do.
Machine learning is the process of self-learning a neural network. Many methods are used for learning, for example, backpropagation, which finds the difference between the expected answer and the output, manipulates the resulting number and adjusts the weights, passing them further to the beginning.
Deep learning is the general name for teaching a network from scratch to "understand" something and extract useful data for further training.
I hope I gave a comprehensive answer)

Answer 4

In everything) Well, except that 3 and 4 are at least somehow connected - these are processes.
And so it's all DIFFERENT things from ONE area.

Answer 5

NS - a set of
AI conditions - the result of the work of the NS
MO - filling the NS with the conditions of
GO - a set of ML methods