Neural network programming with TensorFlow

Neural network programming with TensorFlow

Shranjeno v:

Bibliografske podrobnosti
Glavni avtor:	Ghotra, Manpreet Singh. (Auteur)
Drugi avtorji:	Dua, Rajdeep. (Auteur)
Format:	E-Book
Jezik:	Anglais
Izdano:	Birmingham : Packt Publishing, 2017.
Autres localisations:	Voir dans le Sudoc
Online dostop:	Accès à l'E-book

Podobne knjige/članki

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

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

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

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

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

Deep Learning with TensorFlow
od: Zaccone, Giancarlo.
Izdano: (2017)

TensorFlow Pocket Primer
od: Campesato, Oswald.

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

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

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

TensorFlow 2 Pocket Primer
od: Campesato, Oswald.

Python for TensorFlow Pocket Primer
od: Campesato, Oswald.

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

Machine learning with TensorFlow 1.x
od: Hua, Quan.
Izdano: (2017)

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

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
od: Singh, Anubhav.
Izdano: (2020)

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

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

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

The Applied TensorFlow and Keras Workshop : Develop your practical skills by working through a real-world project and build your own Bitcoin price prediction tracker
od: Chadha, Harveen Singh.
Izdano: (2020)

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

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

TensorFlow 1.x Deep Learning Cookbook
od: Gulli, Antonio.
Izdano: (2017)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Hands-on neural network programming with C# : add powerful neural network capabilities to your C# enterprise applications
od: Cole, Matt R..
Izdano: (2018)

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

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