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

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Xehetasun bibliografikoak
Egile nagusia:	Kishore Ayyadevara, V.. (Egilea)
Formatua:	E-Book
Hizkuntza:	Anglais
Argitaratua:	Birmingham : Packt Publishing, 2019.
Autres localisations:	Voir dans le Sudoc
Sarrera elektronikoa:	Accès à l'E-book

Antzeko izenburuak

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

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

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

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

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

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

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

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

Introduction to Neural Networks
nork: Gurney, Kevin.

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

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

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

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

Modern Computer Vision with PyTorch : A practical roadmap from deep learning fundamentals to advanced applications and Generative AI
nork: 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
nork: Loy, James.
Argitaratua: (2019)

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

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

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

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

Neural network programming with TensorFlow
nork: Ghotra, Manpreet Singh.
Argitaratua: (2017)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Building Bots with Microsoft Bot Framework
nork: Gaddam, Kishore.
Argitaratua: (2017)

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