Recurrent Neural Network, Rnn, Transformers, Data Science, Machine Learning.
gradient problem. The key components of Transformers are the encoder and decoder stacks. The encoder processes input sequences, while the decoder generates output sequences. Each stack contains multiple layers, each featuring a multi-head self-attention mechanism and feedforward neural networks.