A sequence to sequence model lies behind numerous systems which we use on a daily basis. In this blog, we will try to give a short and concise explanation of the sequence to sequence model and apply it to achieve significant results on pretty complex tasks of machine translation.
Read moreIn many real-world data applications, often we encounter scenarios where each data point may belong to multiple classes. A multilabel classifier is trained to predict the K most likely classes among N possible classes. The article focuses on solving multi-label text classification problems using the Hierarchical Attention Network.
Read moreGetting started with deep learning frameworks often involves a steep learning curve. This article is aimed at providing a gentle introduction to building DNN models with Keras which can be scaled and customized as per dataset. The focus will be on understanding the syntax and good practices involved in building a complex DNN model rather than achieving accuracy.
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