Hands-On Neural Networks with TensorFlow 2.0 : Understand TensorFlow, from static graph to eager execution, and design neural networks

Hands-On Neural Networks with TensorFlow 2.0 : Understand TensorFlow, from static graph to eager execution, and design neural networks

Enregistré dans:

Détails bibliographiques
Auteur principal:	Galeone, Paolo. (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

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

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

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

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

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)

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

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

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

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

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)

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

TensorFlow Pocket Primer
par: Campesato, Oswald.

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

TensorFlow 2 Pocket Primer
par: Campesato, Oswald.

Python for TensorFlow Pocket Primer
par: Campesato, Oswald.

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

TensorFlow 2.0 Computer Vision Cookbook : Implement machine learning solutions to overcome various computer vision challenges
par: Martinez, Jesus.
Publié: (2021)

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

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

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

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

Recurrent neural networks with Python quick start guide : sequential learning and language modeling with TensorFlow
par: Kostadinov, Simeon.
Publié: (2018)

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

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)

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

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

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

Flow networks : analysis and optimization of repairable flow networks, networks with disturbed flows, static flow networks and reliability networks
par: Todinov, M.T..
Publié: (2013)

Hands-On Neural Networks with Keras : Design and create neural networks using deep learning and artificial intelligence principles
par: Purkait, Niloy.
Publié: (2019)

Generative AI with Python and TensorFlow 2 : Harness the power of generative models to create images, text, and music
par: Babcock, Joseph.
Publié: (2021)

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)

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

Hands-On Neural Networks : Learn how to build and train your first neural network model using Python
par: De Marchi, Leonardo.
Publié: (2019)

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

Hands-on transfer learning with Python : implement advanced deep learning and neural network models using TensorFlow and Keras
par: Sarkar, Dipanjan (19..-....).
Publié: (2018)

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

Deep learning with Keras : implement neural networks with Keras on Theano and TensorFlow
par: Gulli, Antonio.
Publié: (2017)

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)

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