Encoder-Decoder Attention Layer: This allows the decoder to consider the encoder's output while generating each token in the output sequence. ... Tutorial_Transformers_chatbot.ipynb: This ...

This article explores some of the most influential deep learning architectures: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), ...

The baseline system, which sets the encoding dimension as 128, the number of encoder/decoder layers as 4, the dropout rate as 0.1 and the negative exponent as −1.5, gives rise to 68.01% in translation ...