The notebook rnn_encoder_decoder.ipynb contains a detailed walkthrough of implementing this model in Keras, including: Data preprocessing for sequence-to-sequence models. Building the encoder and ...

This project implements an Automatic Image Captioning model based on encoder-decoder CNN-RNN architecture trained on COCO dataset. Model is able to generate statements about input image ...

Two of the most widely used programming languages for web development are java and python. ... (RNN) based sequence-to-sequence model is one of the most commonly researched models to implement ...

We pursue an interpretable pitch tracking model and a jointly trained tone model for Mandarin tone classification. For pitch tracking, present deep learning based pitch model structure seldom ...