Synthetic Brain.
Artificial Neural Networks

A neural network is a method in Artificial Intelligence used in Computers to process data as in the way human brain works. It is a process called Deep Learning that uses interconnected nodes or neurons in a layered structure that resembles human brain. Thus, Artificial Neural Networks attempts to solve complicated problems like Recognizing faces, Recognizing Speech with greater accuracy.
Neural networks are also known as Artificial Neural Networks (ANNs) or Simulated Neural Networks (SNNs).
Neural networks are used in many types of artificial intelligence (AI), including large language models (LLMs), AI image generators, and predictive AI models.
Types of Neural Networks:
There are many types of Neural Networks. Here are few examples:- FeedForward Network.
- Multilayer Perceptron.
- Convolutional Network.(CNN)
- Recurrent Neural Network.(RNN)
- Long Short-Term Memory.(LSTM)
- Probabilistic Neural Network.(PNN)
Thank You..!! --M.Abhinaya.
- FeedForward Network.
- Multilayer Perceptron.
- Convolutional Network.(CNN)
- Recurrent Neural Network.(RNN)
- Long Short-Term Memory.(LSTM)
- Probabilistic Neural Network.(PNN)
Comments
Post a Comment