Rancher Deep Dive : Manage enterprise Kubernetes seamlessly with Rancher

Rancher Deep Dive : Manage enterprise Kubernetes seamlessly with Rancher

Enregistré dans:

Détails bibliographiques
Auteur principal:	Mattox, Matthew. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2022.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Perl 6 Deep Dive
par: Shitov, Andrew.
Publié: (2017)

Docker Deep Dive : Zero to Docker in a Single Book
par: Poulton, Nigel.

Docker Deep Dive : Zero to Docker in a single book
par: Poulton, Nigel.

Redis® Deep Dive : Explore Redis - Its Architecture, Data Structures and Modules like Search, JSON, AI, Graph, Timeseries
par: Kulkarni, Chinmay.

A deep dive into NoSQL databases : the use cases and applications
par: Raj, Pethuru.
Publié: (2018)

Microsoft Power Platform A Deep Dive : Dig into Power Apps, Power Automate, Power BI, and Power Virtual Agents
par: Kumar Sahoo, Bijay.

Quis dives salvetur ?
par: Clément d'Alexandrie, 0150?-021.?
Publié: (1893)

Python deep learning projects : 9 projects demystifying neural network and deep learning models for building intelligent systems
par: Lamons, Matthew.
Publié: (2018)

Diving into Secure Access Service Edge : A technical leadership guide to achieving success with SASE at market speed
par: Ginn, Jeremiah.
Publié: (2022)

Java deep learning essentials : dive into the future of data science and learn how to build the sophisticated algorithms that are fundmental to deep learning and AI with java
par: Sugomori, Yusuke.
Publié: (2016)

The Deep Learning with Keras Workshop : Learn how to define and train neural network models with just a few lines of code
par: Moocarme, Matthew.
Publié: (2020)

Deep learning
par: Kelleher, John D. (1974-....).
Publié: (2019)

Deep shale : oil and gas
par: Speight, James G. (1940-....).
Publié: (2016)

Deep Learning for Dummies
par: Mueller, John Paul (1958-....).

Deep learning : practical neural networks with Java
par: Sugomori, Yusuke.
Publié: (2017)

Deep learning essentials : your hands-on guide to the fundamentals of deep learning and neural network modeling
par: Di, Wei.
Publié: (2018)

Deep Learning from the Basics : Python and Deep Learning: Theory and Implementation
par: Saitoh, Koki.
Publié: (2021)

Deep learning with Hadoop : build, implement and scale distributed deep learning models for large-scale datasets
par: Dev, Dipayan.
Publié: (2017)

Deep Learning for Data Architects : Unleash the power of Python's deep learning algorithms
par: Khandelwal, Shekhar.

Python Deep Learning : Understand how deep neural networks work and apply them to real-world tasks
par: Vasilev, Ivan.

Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
par: Atienza, Rowel.
Publié: (2018)

Deep Learning for Beginners : A beginner's guide to getting up and running with deep learning from scratch using Python
par: Rivas, Pablo.
Publié: (2020)

Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow
Publié: (2019)

Explorers of Deep Time : Paleontologists and the History of Life
par: Plotnick, Roy.
Publié: (2022)

Deep Learning in Bioinformatics : Techniques and Applications in Practice
par: Izadkhah, Habib.
Publié: (2022)

Deep Learning for Sustainable Agriculture
par: Poonia, Ramesh Chandra.
Publié: (2022)

Principles and Labs for Deep Learning
par: Huang, Shih-Chia.
Publié: (2021)

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

Python deep learning cookbook
par: Bakker, Indra Den.
Publié: (2017)

Keras deep learning cookbook : over 30 recipes for implementing deep neural networks in Python
par: Dua, Rajdeep.
Publié: (2018)

Introduction au Deep Learning
par: Charniak, Eugene.
Publié: (2021)

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

Enhancing Deep Learning with Bayesian Inference : Create more powerful, robust deep learning systems with Bayesian deep learning in Python
par: Benatan, Matt.

Deep Inside osCommerce : The Cookbook
par: Mathe, Monika.
Publié: (2006)

The Deep Learning Workshop : Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras
par: Baig, Mirza Rahim.
Publié: (2020)

Hands-On Mathematics for Deep Learning : Build a solid mathematical foundation for training eﬃcient deep neural networks
par: Dawani, Jay.
Publié: (2020)

Deep learning quick reference : useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
par: Bernico, Mike.
Publié: (2018)

Deep Impact : La sonde "suicide" à l'assaut d'une comète
par: Bourdet, Julien.
Publié: (2005)

Mastering Kubernetes : Dive into Kubernetes and learn how to create and operate world-class cloud-native systems
par: Sayfan, Gigi (19..-....).

Deep learning with Theano : build the articial brain of the future, today
par: Bourez, Christopher.
Publié: (2017)

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