Tensors for Data Processing : Theory, Methods, and Applications

Tensors for Data Processing : Theory, Methods, and Applications

Enregistré dans:

Détails bibliographiques
Auteur principal:	Liu, Yipeng. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	San Diego, CA : Elsevier Science, 2021.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Natural Language Processing with TensorFlow : The definitive NLP book to implement the most sought-after machine learning models and tasks
par: Ganegedara, Thushan.
Publié: (2022)

Advanced Natural Language Processing with TensorFlow 2 : Build effective real-world NLP applications using NER, RNNs, seq2seq models, Transformers, and more
par: Bansal, Ashish.
Publié: (2021)

Tensor calculus
par: Spain, Barry.
Publié: (1956)

Tensor Analysis for Engineers : Transformations - Mathematics - Applications
par: Tabatabaian, Mehrzad.

Theory and Computation of Tensors : Multi-Dimensional Arrays
par: Wei, Yimin (19..-....).
Publié: (2016)

Data Processing Handbook for Complex Biological Data Sources
par: Misra, Gauri.
Publié: (2019)

TensorFlow : powerful predictive analytics with TensorFlow : a fast-paced guide on supervised, unsupervised, and reinforcement learning with TensorFlow
par: Karim, Rezaul Md..
Publié: (2018)

Quantitative data processing in scanning probe microscopy : SPM applications for nanometrology
par: Klapetek, Petr.
Publié: (2018)

Data Processing as seen by a linguist
par: Lanery, Marie-Pascale.
Publié: (1983)

Density estimation for point process data
par: Ellis, Steven Paul.
Publié: (1981)

Acquisition and processing of marine seismic data
par: Dondurur, Derman.
Publié: (2018)

Fast data processing with Spark 2
par: Sankar, Krishna.
Publié: (2016)

Data Processing with Optimus : Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark
par: Leon, Argenis.
Publié: (2021)

Tensors, relativity, and cosmology
par: Dalarsson, Mirjana.
Publié: (2015)

TensorFlow for Dummies
par: Scarpino, Matthew (1975-....).

Data Processing and Modeling with Hadoop : Mastering Hadoop Ecosystem Including ETL, Data Vault, DMBok, GDPR, and Various Data-Centric Tools
par: Aquino do Vale, Vinicius.

Practical Real-time Data Processing and Analytics
par: Saxena, Shilpi.
Publié: (2017)

Fast data processing systems with SMACK Stack
par: Estrada, Raul.
Publié: (2016)

Data acquisition and processing in biology and medicine : proceedings of the 1964 Rochester Conference
par: Enslein, Kurt (19..-....).
Publié: (2017)

Deep Learning with TensorFlow
par: Zaccone, Giancarlo.
Publié: (2017)

TensorFlow Pocket Primer
par: Campesato, Oswald.

Hands-On Computer Vision with TensorFlow 2 : Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras
par: Planche, Benjamin.
Publié: (2019)

Modern big data processing with Hadoop : expert techniques for architecting end-to-end big data solutions to get valuable insights
par: Kumar, V. Naresh.
Publié: (2018)

Anomaly Detection and Complex Event Processing Over IoT Data Streams : With Application to eHealth and Patient Data Monitoring
par: Schneider, Patrick.
Publié: (2022)

Learn TensorFlow Enterprise : Build, manage, and scale machine learning workloads seamlessly using Google's TensorFlow Enterprise
par: Tung, Kc.
Publié: (2020)

Reinforcement learning with TensorFlow : a beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
par: Dutta, Sayon.
Publié: (2018)

Graph Data Processing with Cypher : A practical guide to building graph traversal queries using the Cypher syntax on Neo4j
par: Anthapu, Ravindranatha.

Logarithmic image processing : theory and applications
par: Jourlin, Michel (19..-....; chercheur en informatique).
Publié: (2016)

Hands-On Machine Learning with TensorFlow.js : A guide to building ML applications integrated with web technology using the TensorFlow.js library
par: Sasaki, Kai.
Publié: (2019)

TensorFlow 2 Pocket Primer
par: Campesato, Oswald.

Python for TensorFlow Pocket Primer
par: Campesato, Oswald.

Neural network programming with TensorFlow
par: Ghotra, Manpreet Singh.
Publié: (2017)

Hands-on deep learning with TensorFlow
par: Boxel, Dan Van.
Publié: (2017)

Mastering TensorFlow 2.x : Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data
par: Dua, Rajdeep.
Publié: (2022)

Modern Information Processing : From Theory to Application
par: Bouchon-Meunier, Bernadette (1948-....).
Publié: (2006)

Mastering TensorFlow 1.x : advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
par: Fandango, Armando.
Publié: (2018)

Hands-on convolutional neural networks with TensorFlow : solve computer vision problems with modeling in TensorFlow and Python
Publié: (2018)

Linear processes in function spaces : theory and applications
par: Bosq, Denis, 1939-
Publié: (2000)

Hands-on deep learning for images with TensorFlow
par: Ballard, Will.
Publié: (2018)

Machine learning with TensorFlow 1.x
par: Hua, Quan.
Publié: (2017)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1