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ADVANCED NATURAL LANGUAGE PROCESSING WITH TENSORFLOW 2 build real-world effective nlp... applications using ner, rnns, seq2seq models, tran.
One-stop solution for NLP practitioners, ML developers, and data scientists to build effective NLP systems that can perform real-world complicated tasks Key Features Apply deep learning algorithms and techniques such as BiLSTMS, CRFs, BPE and more using TensorFlow 2 Explore applications like text ge...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[S.l.] :
PACKT PUBLISHING LIMITED,
2021.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Table of Contents Essentials of NLP Understanding Sentiment in Natural Language with BiLSTMs Named Entity Recognition (NER) with BiLSTMs, CRFs and Viterbi Decoding Transfer Learning with BERT Generating Text with RNNs and GPT-2 Text Summarization with Seq2seq Attention and Transformer Networks Multi-Modal Networks and Image Captioning with ResNets and Transformer Networks Weakly Supervised Learning for Classification with Snorkel Building Conversational AI Applications with Deep Learning Installation and Setup Instructions for Code.