05 Oct What is a Neural Network

A neural network is inspired by the neurons in the human brain. It is a process that mimics how the human brain works. Consider, it as a series of algorithms with interconnected nodes. A neural network is also called an artificial neural network.

Artificial neural networks attempt to recognize underlying relationships in a set of data just like how the human brain operates.

These are Deep learning algorithms modeled after the human brain. Multiple neurons are used. Consider them as mathematical operations to break down and solve complex mathematical problems.

Neural Networks have different layers connected. It has the following layers:

• Input layer
• Hidden layers (one or more) i.e. the input is processed against a hidden layer and modified against another hidden layer
• Output layer

Here is the flowchart representation that shows the layers in the Neural Network. The input data are processed against a hidden layer and modified against another hidden layer to produce the output:

Above:

• Input data: Green
• Hidden layers: Blue and Orange
• Final: Gray

Example

Let’s say we have some images of two different breeds of cats. We want to identify the specific images of these breeds:

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Read More:

• What is Deep Learning
• Features of Deep Learning
• AI vs ML vs DL
• Deep Learning Advantages & Disadvantages
• Deep Learning Applications
• Types of Deep Learning