Transformers for natural language processing : build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more /

Transformers for natural language processing : build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more /

Xehetasun bibliografikoak
Egile nagusia:	Rothman, Denis
Formatua:	Liburua
Hizkuntza:	English
Argitaratua:	Birmingham : Packt Publishing, 2021.
Gaiak:	Natural language processing (Computer science). Artificial intelligence. Computer science. Electronic transformers.
Classic Catalogue:	View this record in Classic Catalogue

Antzeko izenburuak

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Fundamentals of artificial neural networks /
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Introduction to artificial intelligence and expert systems /
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Introduction to artificial intelligence and expert systems /
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Artificial intelligence : a modern approach /
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Artificial intelligence /
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Artificial intelligence : a modern approach /
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Introduction to artificial intelligence /
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Artificial intelligence /
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Artificial intelligence at MIT : expanding frontiers /
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Transformers : principles and applications /
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Mathematical methods in artificial intelligence /
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Implementing A.I based solutions to understand & predict consumer sentiment
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Design and implementation of an automated transformer monitoring system
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Predicting epileptic seizure from Electroencephalography (EEG) using hilbert huang transformation and neural network
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Java Deep Learning Cookbook : Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j /
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A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
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Schaum's outline of theory and problems of Laplace transforms /
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