Archives for seq2seq modeling
VDSM is a novel unsupervised approach with a hierarchical architecture that learns disentangled representations through inductive bias.
The post Guide To VDSM: A Deep Inductive Bias Model For Video Disentanglement appeared first on Analytics India Magazine.
AMR is a graph-based representation that aims to preserve semantic relations. AMR graphs are rooted, labelled, directed, acyclic graphs, comprising whole sentences. They are intended to abstract away from syntactic representations.
The post Guide to Abstract Meaning Representation(AMR) to text with TensorFlow appeared first on Analytics India Magazine.
Natural Language Processing has many interesting applications and Sequence to Sequence modelling is one of those interesting applications. It has major applications in question-answering systems and language translation systems. Sequence-to-Sequence (Seq2Seq) modelling is about training the models that can convert sequences from one domain to sequences of another domain, for example, English to French. This…
The post Sequence-to-Sequence Modeling using LSTM for Language Translation appeared first on Analytics India Magazine.