Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots

Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots

Uloženo v:

Podrobná bibliografie
Hlavní autor:	Kishore Ayyadevara, V.. (Autor)
Médium:	E-Book
Jazyk:	Anglais
Vydáno:	Birmingham : Packt Publishing, 2019.
Autres localisations:	Voir dans le Sudoc
On-line přístup:	Accès à l'E-book

Podobné jednotky

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

Keras deep learning cookbook : over 30 recipes for implementing deep neural networks in Python
Autor: Dua, Rajdeep.
Vydáno: (2018)

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

Neural Network for Beginners : Build Deep Neural Networks and Develop Strong Fundamentals using Python's NumPy, and Matplotlib
Autor: Klaas, Sebastian.

Neural networks with R : smart models using CNN, RNN, deep learning, and artificial intelligence principles
Autor: Ciaburro, Giuseppe (19..-....).
Vydáno: (2017)

Practical convulational neural networks : implement advanced deep learning models using Python
Autor: Sewak, Mohit (19..-..).
Vydáno: (2018)

Keras 2.x projects : 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
Autor: Ciaburro, Giuseppe (19..-....).
Vydáno: (2018)

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

Introduction to Neural Networks
Autor: Gurney, Kevin.

The Deep Learning with Keras Workshop : Learn how to define and train neural network models with just a few lines of code
Autor: Moocarme, Matthew.
Vydáno: (2020)

Generative adversarial networks cookbook : over 100 recipes to build generative models using Python,TensorFlow, and Keras
Autor: Kalin, Josh.
Vydáno: (2018)

Hands-On Graph Neural Networks Using Python : Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch
Autor: Labonne, Maxime.

Neural Networks in Finance : Gaining Predictive Edge in the Market
Autor: McNelis, Paul D..
Vydáno: (2004)

Modern Computer Vision with PyTorch : A practical roadmap from deep learning fundamentals to advanced applications and Generative AI
Autor: Kishore Ayyadevara, V..

Neural Network Projects with Python : The ultimate guide to using Python to explore the true power of neural networks through six projects
Autor: Loy, James.
Vydáno: (2019)

Hands-On Generative Adversarial Networks with Keras : your guide to implementing next-generation generative adversarial networks
Autor: Valle, Rafael.
Vydáno: (2019)

Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
Autor: Atienza, Rowel.
Vydáno: (2018)

Deep Learning with R Cookbook : Over 45 unique recipes to delve into neural network techniques using R 3.5.x
Autor: Gupta, Swarna.
Vydáno: (2020)

Artificial neural networks for engineering applications
Autor: Alanis, Alma Y. (19..-....).
Vydáno: (2019)

Neural network programming with TensorFlow
Autor: Ghotra, Manpreet Singh.
Vydáno: (2017)

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

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

Neural Networks Modeling and Control : Applications for Unknown Nonlinear Delayed Systems in Discrete Time
Autor: Rios, Jorge D..
Vydáno: (2020)

Neural Network Modeling and Identification of Dynamical Systems
Autor: Tiumentsev, Yury.
Vydáno: (2019)

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

Network analysis using Wireshark cookbook : over 80 recipes to analyze and troubleshoot network problems using Wireshark
Autor: Orzach, Yoram.
Vydáno: (2013)

Fuzzy neural networks for real time control applications : concepts, modeling and algorithms for fast learning
Autor: Kayacan, Erdal (19..-....).
Vydáno: (2015)

Artificial Intelligence in the Age of Neural Networks and Brain Computing
Autor: Kozma, Robert B..
Vydáno: (2018)

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

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

Hands-on deep learning for games : leverage the power of neural networks and reinforcement learning to build intelligent games
Autor: Lanham, Micheal.
Vydáno: (2019)

Networking Games : Network Forming Games and Games on Networks
Autor: Mazalov, Vladimir V..
Vydáno: (2019)

Network Automation Cookbook : Proven and actionable recipes to automate and manage network devices using Ansible
Autor: Okasha, Karim.
Vydáno: (2020)

Keras to Kubernetes : The Journey of a Machine Learning Model to Production
Autor: Rao, Dattaraj.

Azure networking cookbook : practical recipes to manage network traffic in Azure, optimize performance, and secure Azure resources
Autor: Toroman, Mustafa.
Vydáno: (2019)

Azure Networking Cookbook : Practical recipes for secure network infrastructure, global application delivery, and accessible connectivity in Azure
Autor: Toroman, Mustafa.
Vydáno: (2020)

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

Keras reinforcement learning projects : 9 projects exploring popular reinforcement learning techniques to build self-learning agents
Autor: Ciaburro, Giuseppe (19..-....).
Vydáno: (2018)

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

Building Bots with Microsoft Bot Framework
Autor: Gaddam, Kishore.
Vydáno: (2017)

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