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Types of Neural Networks

  • Neural networks are a type of artificial intelligence that work similarly to the human brain.
  • There are different types of neural networks, each with its unique characteristics and applications.
  • Some types include Feedforward Neural Networks (FNNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs), Generative Adversarial Networks (GANs), Radial Basis Function Networks (RBFNs), Autoencoders, and Transformer Networks.
  • Each type of neural network has specific strengths and is used for various tasks such as image classification, facial recognition, text prediction, language translation, fraud detection, data compression, and more.

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