Neural Network Structure
Neural Network Structure
But what is the difference between learning languages and teaching a neural network? Well, the important thing to understand here is that a neural network is a structure made up of layers of "neurons" that are analogous to the biological neurons in the brain. Each neuron processes information, receives input, and passes the result on. The neurons within the layer work in parallel, processing information and passing the results to the next layer until we get the final answer to our question.
Neurons in a neural network have connections, each of which has a so-called “weight”. This weight shows how important the connection between the two neurons is.
Note
The thicker the connection, the more important it is.
The process of training a neural network is to adjust the "weights" of each neuron in such a way that the results they give are the most accurate. It's a bit like how we learn to play a musical instrument, gradually improving our skills and accuracy.
However, it is important to understand that neural networks are only a tool, they do not have their own consciousness or understanding of the world, like a person. They simply process the data and find the patterns that we asked them to find. And a neural network trained to predict the price of a house would not be able to predict the price of a guitar in a music store.
Everything was clear?
Course Content
Introduction to Neural Networks
Introduction to Neural Networks
Neural Network Structure
Neural Network Structure
But what is the difference between learning languages and teaching a neural network? Well, the important thing to understand here is that a neural network is a structure made up of layers of "neurons" that are analogous to the biological neurons in the brain. Each neuron processes information, receives input, and passes the result on. The neurons within the layer work in parallel, processing information and passing the results to the next layer until we get the final answer to our question.
Neurons in a neural network have connections, each of which has a so-called “weight”. This weight shows how important the connection between the two neurons is.
Note
The thicker the connection, the more important it is.
The process of training a neural network is to adjust the "weights" of each neuron in such a way that the results they give are the most accurate. It's a bit like how we learn to play a musical instrument, gradually improving our skills and accuracy.
However, it is important to understand that neural networks are only a tool, they do not have their own consciousness or understanding of the world, like a person. They simply process the data and find the patterns that we asked them to find. And a neural network trained to predict the price of a house would not be able to predict the price of a guitar in a music store.
Everything was clear?
