Transformer Model
https://github.com/rida-10/Rida/blob/main/GAN.txt
- A transformer model is a neural network that learns context and thus meaning by tracking relationships in sequential data like the words in this sentence.
- Transformers are used to train machine learning models by applying an evolving set of mathematical techniques, called attention or self-attention.
RNN Model
https://github.com/rida-10/Rida/blob/main/RNN.txt
- Recurrent Neural Networks, or RNNs for short, remembers each and every piece of information through time. It is useful in time series prediction only because of the feature to remember previous inputs as well.
- Recurrent neural networks are even used with convolutional layers to extend the effective pixel neighborhood.
GAN Model
https://github.com/rida-10/Rida/blob/main/Transformer%20Model.txt
- Generative Adversarial Networks, or GANs for short, are an approach to generative modeling using deep learning methods, such as convolutional neural networks.
- GANs provide a path to sophisticated domain-specific data augmentation and a solution to problems that require a generative solution, such as image-to-image translation.