Placeholder text

Go to cart

Recent Advancement on the World of Neural Networks

By Fouad Soliman

Recent Advancement on the World of Neural Networks Business & Technology

Recent Advancement on the World of Neural Networks

0 - Default Title
Description
A neural network is a group of interconnected units called neurons that send signals to one another. Neurons can be either biological cells or mathematical models. While individual neurons are simple, many of them together in a network can perform complex tasks. There are two main types of neural network namely: In neuroscience, a biological neural network is a physical structure found in brains and complex nervous systems - a population of nerve cells connected by synapses. In the context of biology, a neural network is a population of biological neurons chemically connected to each other by synapses. A given neuron can be connected to hundreds of thousands of synapses. Each neuron sends and receives electrochemical signals called action potentials to its connected neighbors. A neuron can serve an excitatory role, amplifying and propagating signals it receives, or an inhibitory role, suppressing signals instead. In machine learning, a neural network is an artificial mathematical model used to approximate nonlinear functions. While early artificial neural networks were physical machines, today they are almost always implemented in software.
Product details
Binding:
Paperback
Number of Pages:
168
Release Date:
2025-04-07
Publication Date:
2025-04-07
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
6208441404
ISBN13:
9786208441401
GPSR Manufacturer Reference:
[email protected]
Weight:
268 g
Height:
150 cm
Width:
220 cm
Thickness:
11 cm
Buy on Amazon
Currently sold out