Advanced Deep Learning with TensorFlow 2 and Keras : Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more

Advanced Deep Learning with TensorFlow 2 and Keras : Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more

Enregistré dans:

Détails bibliographiques
Auteur principal:	Atienza, Rowel. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2020.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

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

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

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

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)

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)

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

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

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

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 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)

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
par: Chadha, Harveen Singh.
Publié: (2020)

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

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

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

Beginning with Deep Learning using Tensorflow : A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications
par: Silaparasetty, Mohan Kumar.
Publié: (2022)

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

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

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

TensorFlow Pocket Primer
par: Campesato, Oswald.

Deep Reinforcement Learning with Python : Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow
par: Ravichandiran, Sudharsan.
Publié: (2020)

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)

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 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)

Applied Deep Learning with Keras : Solve complex real-life problems with the simplicity of Keras
par: Bhagwat, Ritesh.
Publié: (2019)

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

Advanced Natural Language Processing with TensorFlow 2 : Build effective real-world NLP applications using NER, RNNs, seq2seq models, Transformers, and more
par: Bansal, Ashish.
Publié: (2021)

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

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

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)

Essentials of Deep Learning and AI : Experience Unsupervised Learning, Autoencoders, Feature Engineering, and Time Series Analysis with TensorFlow, Keras, and scikit-learn
par: Soppin, Shashidhar.

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)

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

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