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Build effective real-world NLP applications using NER, RNNs, seq2seq models, Transformers, and more

Advanced Natural Language Processing with TensorFlow 2

<span xml:lang="en">Advanced Natural Language Processing with TensorFlow 2: Build effective real-world NLP applications using NER, RNNs, seq2seq models, Transformers, and more</span>

Bansal, Ashish

Mullen, Tony

One-stop solution for NLP practitioners, ML developers, and data scientists to build effective NLP systems that can perform real-world complicated tasksKey FeaturesApply deep learning algorithms and techniques such as BiLSTMS, CRFs, BPE and more using TensorFlow 2Explore applications like text generation, summarization, weakly supervised labelling and moreRead cutting edge material with seminal papers provided in the GitHub repository with full working codeBook DescriptionRecently, there have been tremendous advances in NLP, and we are now moving from research labs into practical applications.

One-stop solution for NLP practitioners, ML developers, and data scientists to build effective NLP systems that can perform...

Format

Advanced Natural Language Processing with TensorFlow 2

Build effective real-world NLP applications using NER, RNNs, seq2seq models, Transformers, and more

Ashish Bansal

Tony Mullen

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