The neural network is of many types based on the number available in the hidden layers.

Most of the neural networks are mentioned below in this article.

So, let’s have a look at them in detail.Fee-forward neural networks: It is the most basic type of neural network that contains information in this network that travels in a unidirectional manner.

In this kind, the output data of the processing nodes is stored which is used to improve the functioning.Convolutional neural networks: These are the types of networks that are popular in today’s life due to the specialty that they are able enough to perform face recognition.

Through these encoding attributes are allowed into the input by assuming it be an image.Advantages of Neural Networks:The neural networks are so capable that they can learn themselves and generate output that is not limited to provide output.In its own network input is stored instead of a database.

Even if a similar event arises you can make them work through real-time events.In case the neuron is not responding/the information is missing this network can easily detect the fault and still produce the output.Multiple tasks can be done parallel without affecting the performance of the systemApplications of Neural Networks:This network has been in the market since 1943.