Beispielbild für diese ISBNSupervised Sequence Labelling with Recurrent Neural Networks
von Alex Graves Verlag: Springer
2014 Kartoniert, 160 Seiten, 235mm x 155mm x 9mm, Sprache(n): eng Recent research in Supervised Sequence Labelling with Recurrent Neural Networks New results in a hot topic Written by leading experts
Beispielbild für diese ISBNDeep Learning Applications, Volume 2
Verlag: Springer
2020 Gebunden, 312 Seiten, 241mm x 160mm x 23mm, Sprache(n): eng Describes novel ways of using deep learning architectures for real-world applicationsDiscusses novel algorithms for deep learning networksServes as a reference resource for researchers and practitioners in academia and industry
Beispielbild für diese ISBNDeep Learning Applications, Volume 2
Verlag: Springer
2021 Kartoniert, 312 Seiten, 235mm x 155mm x 17mm, Sprache(n): eng Describes novel ways of using deep learning architectures for real-world applicationsDiscusses novel algorithms for deep learning networksServes as a reference resource for researchers and practitioners in academia and industry
Beispielbild für diese ISBNDeep Learning in Multi-step Prediction of Chaotic Dynamics - From Deterministic Models to Real-Wor…
von Matteo Sangiorgio, Fabio Dercole, Giorgio Guariso Verlag: Springer
2022 Kartoniert, 116 Seiten, 235mm x 155mm x 7mm, Sprache(n): eng
Beispielbild für diese ISBNDeep Learning Applications
Verlag: Springer
2020 Kartoniert, 188 Seiten, 235mm x 155mm x 11mm, Sprache(n): eng Describes novel ways of using deep learning architectures for real-world applicationsDiscusses new algorithms for deep learning networksPresents the results of using deep learning models for selected applications
Beispielbild für diese ISBNPractical Natural Language Processing with Python - With Case Studies from Industries Using Text D…
von Mathangi Sri Verlag: Apress
2020 Kartoniert, 272 Seiten, 254mm x 178mm x 15mm, Sprache(n): eng Emphasizes a data- and business problem-first approachA case study-based approach that presents real-world problems and solutionsExplains the accuracy and limitations of certain libraries from a professional's view
Beispielbild für diese ISBNProgramming with TensorFlow - Solution for Edge Computing Applications
Verlag: Springer
2021 Gebunden, 200 Seiten, 241mm x 160mm x 17mm, Sprache(n): eng Provides a practical end-to-end guide to TensorFlow, the leading open source software library for building and training neural networksPertains to a broad technical audience-from data scientists and engineers to students and resear…
Beispielbild für diese ISBNModern Deep Learning for Tabular Data - Novel Approaches to Common Modeling Problems
von Andre Ye, Zian Wang Verlag: Apress
2022 Kartoniert, 872 Seiten, 254mm x 178mm x 47mm, Sprache(n): eng Explains deep learning applications to tabular data, documenting novel methods and techniquesExposes and synthesizes lesser-known deep learning tools and techniques backed by recent researchApply convolutional, recurrent, attenti…
Beispielbild für diese ISBNAdvanced Data Analytics Using Python - With Architectural Patterns, Text and Image Classification,…
von Sayan Mukhopadhyay, Pratip Samanta Verlag: Apress
2022 Kartoniert, 268 Seiten, 235mm x 155mm x 15mm, Sprache(n): eng
Beispielbild für diese ISBNProgramming with TensorFlow - Solution for Edge Computing Applications
Verlag: Springer
2022 Kartoniert, 200 Seiten, 235mm x 155mm x 12mm, Sprache(n): eng Provides a practical end-to-end guide to TensorFlow, the leading open source software library for building and training neural networksPertains to a broad technical audience-from data scientists and engineers to students and rese…
- Stichwörter
- RecurrentNeuralNetworks
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