Hands-on deep learning with TensorFlow

Hands-on deep learning with TensorFlow

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Bibliografiske detaljer
Hovedforfatter:	Boxel, Dan Van. (Auteur)
Format:	E-Book
Sprog:	Anglais
Udgivet:	Birmingham : Packt Publishing, 2017.
Autres localisations:	Voir dans le Sudoc
Online adgang:	Accès à l'E-book

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Hands-On Computer Vision with TensorFlow 2 : Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras
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Learn TensorFlow Enterprise : Build, manage, and scale machine learning workloads seamlessly using Google's TensorFlow Enterprise
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TensorFlow for Dummies
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Advanced Deep Learning with TensorFlow 2 and Keras : Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more
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Mastering TensorFlow 1.x : advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
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Machine learning with TensorFlow 1.x
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TensorFlow Pocket Primer
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What's New in TensorFlow 2.0 : Use the new and improved features of TensorFlow to enhance machine learning and deep learning
af: Baranwal, Ajay.
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Hands-On Neural Networks with TensorFlow 2.0 : Understand TensorFlow, from static graph to eager execution, and design neural networks
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TensorFlow Machine Learning Cookbook : Over 60 recipes to build intelligent machine learning systems with the power of Python
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Neural network programming with TensorFlow
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TensorFlow 2 Pocket Primer
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Python for TensorFlow Pocket Primer
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Machine Learning Using TensorFlow Cookbook : Over 60 recipes on machine learning using deep learning solutions from Kaggle Masters and Google Developer Experts
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TensorFlow Machine Learning Projects : Build 13 real-world projects with advanced numerical computations using the Python ecosystem
af: Jain, Ankit.
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TensorFlow Developer Certificate Guide : Efficiently tackle deep learning and ML problems to ace the Developer Certificate exam
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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
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Beginning with Deep Learning using Tensorflow : A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications
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Intelligent mobile projects with TensorFlow : build 10+ artificial intelligence apps using TensorFlow mobile and Lite for iOS, Android, and Raspberry Pi
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TensorFlow 2 Reinforcement Learning Cookbook : Over 50 recipes to help you build, train, and deploy learning agents for real-world applications
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TensorFlow Reinforcement Learning Quick Start Guide : Build and manage any business on top of the Google Cloud infrastructure
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Mastering predictive analytics with scikit-learn and TensorFlow : implement machine learning techniques to build advanced predictive models using Python
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TensorFlow 2.0 Quick Start Guide : Get up to speed with the newly introduced features of TensorFlow 2.0
af: Holdroyd, Tony.
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Hands-On Machine Learning with TensorFlow.js : A guide to building ML applications integrated with web technology using the TensorFlow.js library
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Mastering Computer Vision with TensorFlow 2.x : Build advanced computer vision applications using machine learning and deep learning techniques
af: Kar, Krishnendu.
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Natural Language Processing with TensorFlow : The definitive NLP book to implement the most sought-after machine learning models and tasks
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Hands-On Deep Learning Algorithms with Python : Master deep learning algorithms with extensive math by implementing them using TensorFlow
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Hands-On Deep Learning Architectures with Python : Create deep neural networks to solve computational problems using TensorFlow and Keras
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Mastering TensorFlow 2.x : Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data
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