TensorFlow: Deep Learning and Artificial Intelligence (Machine Learning) by ANSARI HASANRAZA

Author:ANSARI, HASANRAZA [ANSARI, HASANRAZA]
Language: eng
Format: epub
Published: 2020-07-05T16:00:00+00:00

Single Layer Perceptron

For understanding single layer perceptron, it is important to understand Artificial Neural Networks (ANN). Artificial neural networks is the information processing system the mechanism of which is inspired with the functionality of biological neural circuits. An artificial neural network possesses many processing units connected to each other. Following is the schematic representation of artificial neural network −

The diagram shows that the hidden units communicate with the external layer. While the input and output units communicate only through the hidden layer of the network.

The pattern of connection with nodes, the total number of layers and level of nodes between inputs and outputs with the number of neurons per layer define the architecture of a neural network.

There are two types of architecture. These types focus on the functionality artificial neural networks as follows −

Single Layer Perceptron

Multi-Layer Perceptron

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.