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Encoder-Decoder Sequence-to-Sequence Models

Encoder-Decoder Sequence-to-Sequence Models

Introduction Encoder-Decoder Sequence-to-Sequence Models are famous for diverse tasks. These models are a distinctive class of Recurrent Neural Network architectures. We often use them to solve complex Language problems. For example; Machine translation Video captioning Image captioning Question answering Creating Chatbots Text Summarization In this article, we will discuss how an RNN can be trained … Read more