The virtual course "Natural Language Processing with Sequence Models - Virtual Course - Coursera", is a course with different contents and that offers video classes of . Explore its essential features, and click the orange button to get detailed information on the Coursera e-Learning platform
In Course 3 of the Specialization in Natural Language Processing, offered by deeplearning.
ai, you will: a) Train a GLoVe word-embedding neural network to perform sentiment analysis of tweets, b) Generate synthetic text from Shakespeare using a Gated Recurrent Unit (GRU) language model, c) Train a recurrent neural network to perform named entity recognition (NER) using LSTM 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.
Make sure you have completed Course 2 and are familiar with the basics of TensorFlow.
If you want to prepare further, you can take Course 1: Neural Networks and Deep Learning in the Deep Learning Specialization.
By the end of this Specialization, you will have designed NLP applications that perform sentiment analysis and answer questions, created tools for language translation and text summarization, and even created a chatbot! This specialization is designed and taught by two experts in NLP, machine learning and deep learning.
Younes Bensouda Mourri is an AI instructor at Stanford University who also helped develop the deep learning specialization.
Łukasz Kaiser is a Google Brain staff research scientist and co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer article.
Younes Bensouda Mourri is an AI instructor at Stanford University who also helped develop the deep learning specialization.
Łukasz Kaiser is a Google Brain staff research scientist and co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer article.
Younes Bensouda Mourri is an AI instructor at Stanford University who also helped develop the deep learning specialization.
Łukasz Kaiser is a Google Brain staff research scientist and co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer article.
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