Deep Learning: Principles, Concepts, and Methods

                                             

          

         the introduction

A primary goal in the field of artificial intelligence is to give computers the ability to understand
the world around them and interact with it in an intelligent way.
Deep learning as one of the most promising methods to achieve this goal.
Deep learning is a method for computationally learning high-level concepts in data
It is represented using deep hierarchical neural networks, which are part of machine learning methods.
Therefore, it will be useful to review machine learning concepts before deep learning. Because many
Some of the concepts used in neural networks are supervised learning and non-learning
Supervised, Augmented, and many other topics emerge from machine learning.
Therefore, in this section we will have a brief overview of these concepts to understand deep learning
Better. But before we get into that, let's go back a bit and look at what learning is.
When we talk about human learning, we differentiate between learning, memorization, and intelligence. Of course, remember
Phone numbers is a kind of learning, but when we say learning, we often mean something
last. Learning can be defined as improving performance on a given task using experience
and practice. Intelligent human behavior is classified by learning in experiences, and learning
It is the source of flexibility in an individual's life.

What is education?

Imagine using a flashcard to teach a child the difference between a cat and a dog. We show a card
For the child, the child chooses one, then the card is placed in one of the two columns appropriate for selection
right or wrong. By training the child, his performance will improve and he will be able to recognize
And distinguish between cats and dogs. For the ability of this realization and knowledge in man, what?
We just need examples. Once a child has mastered the flashcard sample, they will not only be able to
From the classification of pictures on flashcards, but also most pictures of dogs and cats.
This ability to generalize to apply the knowledge gained to examples he has not seen before is characteristic

The core of human and machine learning. Of course, human learning is something even more advanced than

For more read the book