Hands-On Machine Learning with TensorFlow.js : A guide to building ML applications integrated with web technology using the TensorFlow.js library

Hands-On Machine Learning with TensorFlow.js : A guide to building ML applications integrated with web technology using the TensorFlow.js library

Enregistré dans:

Détails bibliographiques
Auteur principal:	Sasaki, Kai. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2019.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

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

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

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

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

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

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

TensorFlow Machine Learning Cookbook : Over 60 recipes to build intelligent machine learning systems with the power of Python
par: Mcclure, Nick.
Publié: (2018)

TensorFlow Machine Learning Projects : Build 13 real-world projects with advanced numerical computations using the Python ecosystem
par: Jain, Ankit.
Publié: (2018)

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

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

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

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)

Machine Learning Using TensorFlow Cookbook : Over 60 recipes on machine learning using deep learning solutions from Kaggle Masters and Google Developer Experts
par: Audevart, Alexia.
Publié: (2021)

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

Deep learning with TensorFlow : explore neural networks and build intelligent systems with Python
par: Zaccone, Giancarlo.
Publié: (2018)

What's New in TensorFlow 2.0 : Use the new and improved features of TensorFlow to enhance machine learning and deep learning
par: Baranwal, Ajay.
Publié: (2019)

Hands-On Neural Networks with TensorFlow 2.0 : Understand TensorFlow, from static graph to eager execution, and design neural networks
par: Galeone, Paolo.
Publié: (2019)

TensorFlow Pocket Primer
par: Campesato, Oswald.

Deep Learning with TensorFlow and Keras : Build and deploy supervised, unsupervised, deep, and reinforcement learning models
par: Kapoor, Amita.
Publié: (2022)

TensorFlow 1.x Deep Learning Cookbook
par: Gulli, Antonio.
Publié: (2017)

Mastering predictive analytics with scikit-learn and TensorFlow : implement machine learning techniques to build advanced predictive models using Python
par: Fontaine, Alan.
Publié: (2018)

TensorFlow deep learning projects : 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
par: Massaron, Luca (19..-....).
Publié: (2018)

Design Patterns of Deep Learning with TensorFlow : Building a customer hyper-personalisation ecosystem using deep learning design patterns
par: Joseph, Thomas V..

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)

Intelligent mobile projects with TensorFlow : build 10+ artificial intelligence apps using TensorFlow mobile and Lite for iOS, Android, and Raspberry Pi
par: Tang, Jeff.
Publié: (2018)

TensorFlow Developer Certificate Guide : Efficiently tackle deep learning and ML problems to ace the Developer Certificate exam
par: Fagbohun, Oluwole.

TensorFlow Reinforcement Learning Quick Start Guide : Build and manage any business on top of the Google Cloud infrastructure
par: Balakrishnan, Kaushik.
Publié: (2019)

Machine learning projects for mobile applications : build Android and iOS applications using TensorFlow Lite and Core ML
par: Ng, Karthikeyan.
Publié: (2018)

TensorFlow 2 Reinforcement Learning Cookbook : Over 50 recipes to help you build, train, and deploy learning agents for real-world applications
par: Palanisamy, Praveen.
Publié: (2021)

Mastering Computer Vision with TensorFlow 2.x : Build advanced computer vision applications using machine learning and deep learning techniques
par: Kar, Krishnendu.
Publié: (2020)

TensorFlow 2.0 Quick Start Guide : Get up to speed with the newly introduced features of TensorFlow 2.0
par: Holdroyd, Tony.
Publié: (2019)

Deep learning avec Keras et TensorFlow : mise en oeuvre et cas concrets
par: Géron, Aurélien (19..-....).

Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
par: Bonaccorso, Giuseppe.
Publié: (2019)

Hands-On Python Deep Learning for the Web : Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
par: Singh, Anubhav.
Publié: (2020)

Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter : Build scalable real-world projects to implement end-to-end neural networks on Android and iOS
par: Singh, Anubhav.
Publié: (2020)

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)

Hands-on Nuxt.js Web Development : Build universal and static-generated Vue.js applications using Nuxt.js
par: Kok, Lau Tiam.
Publié: (2020)

Python Machine Learning : Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
par: Raschka, Sebastian.
Publié: (2019)

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