In this article, we'll learn an efficient approach to creating a chat bot with an RNN encoder-decoder and pre-trained word embeddings
In this article, an approach to creating a chat bot with pre-trained word embeddings and a recurrent neural network with an encoder-decoder architecture is described. The word embeddings are pre-trained which means they do not need to be learned but simply loaded from a file into the network. To learn the response of the chat bot to a certain request, an encoder-decoder network is implemented. The chat bot is created using TensorFlow together with the Keras API. In this article, you can learn about these concepts and how you can use them to create a chat bot that talks like you.
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