In Course 3 of the Natural Language Processing Specialization, you will:
a) Train a neural network with GLoVe word embeddings to perform sentiment analysis of tweets,
b) Generate synthetic Shakespeare text using a Gated Recurrent Unit (GRU) language model,
c) Train a recurrent neural network to perform named entity recognition (NER) using LSTMs with linear layers, and
d) Use so-called ‘Siamese’ LSTM models to compare questions in a corpus and identify those that are worded differently but have the same meaning.Lee mas.
Este recurso es ofrecido por un socio afiliado. Si paga por la capacitación, podemos ganar una comisión para respaldar este sitio.
Las técnicas y herramientas cubiertas en Natural Language Processing with Sequence Models son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Científico de datos.
Natural Language Processing with Sequence Models is a part of uno structured learning path.
4 Courses
4 Months
Natural Language Processing
