Cargando…

Deep learning by example : a hands-on guide to implementing advanced machine learning algorithms and neural networks /

Annotation

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Menshawy, Ahmed (Autor)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Birmingham, UK : Packt Publishing, 2018.
Temas:	Machine learning. Apprentissage automatique. Mathematical theory of computation. Artificial intelligence. Neural networks & fuzzy systems. Computers > Intelligence (AI) & Semantics. Computers > Machine Theory. Computers > Neural Networks. COMPUTERS > General.
Acceso en línea:	Texto completo

Ejemplares similares

Go Machine Learning Projects : Eight Projects Demonstrating End-To-end Machine Learning and Predictive Analytics Applications in Go.
por: Chew, Xuanyi
Publicado: (2018)

Machine Learning with Core ML : an IOS Developer's Guide to Implementing Machine Learning in Mobile Apps.
por: Newnham, Joshua
Publicado: (2018)

Hands-On Reinforcement Learning with Python : Master Reinforcement and Deep Reinforcement Learning Using OpenAI Gym and TensorFlow.
por: Ravichandiran, Sudharsan
Publicado: (2018)

TensorFlow deep learning projects : 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning /
por: Massaron, Luca
Publicado: (2018)

Mastering TensorFlow 1.x : Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras.
por: Fandango, Armando
Publicado: (2018)

Advanced machine learning with R : tackle data analytics and machine learning challenges and build complex applications with R 3. 5 /
por: Lesmeister, Cory, et al.
Publicado: (2019)

Deep learning projects using TensorFlow 2 : neural network development with Python and Keras /
por: Silaparasetty, Vinita
Publicado: (2020)

Machine Learning Solutions : Expert techniques to tackle complex machine learning problems using Python.
por: Thanaki, Jalaj
Publicado: (2018)

Java deep learning cookbook : train neural networks for classification, NLP, and reinforcement learning using deeplearning4j /
por: Raj, Rahul
Publicado: (2019)

Dataset shift in machine learning /
Publicado: (2009)

Hands-On Artificial Intelligence for Beginners : an Introduction to AI Concepts, Algorithms, and Their Implementation.
por: Smith, Patrick D.
Publicado: (2018)

Dataset shift in machine learning /
Publicado: (2009)

Hands-on reinforcement learning for games : implementing self-learning agents in games using artificial intelligence techniques /
por: Lanham, Micheal
Publicado: (2020)

Hands-on reinforcement learning for games : implementing self-learning agents in games using artificial intelligence techniques /
por: Lanham, Micheal
Publicado: (2020)

Deep learning with PyTorch : a practical approach to building neural network models using PyTorch /
por: Subramanian, Vishnu
Publicado: (2018)

Deep learning with PyTorch : a practical approach to building neural network models using PyTorch /
por: Subramanian, Vishnu
Publicado: (2018)

Java Deep Learning Projects : Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs.
por: Karim, Rezaul
Publicado: (2018)

Generative Adversarial Networks Projects : Build Next-Generation Generative Models Using TensorFlow and Keras.
por: Ahirwar, Kailash
Publicado: (2019)

Artificial Intelligence and Machine Learning Fundamentals : Develop Real-World Applications Powered by the Latest AI Advances.
por: Nagy, Zsolt
Publicado: (2018)

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

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

Hands-On Neural Networks with Keras : Design and Create Neural Networks Using Deep Learning and Artificial Intelligence Principles.
por: Purkait, Niloy
Publicado: (2019)

Machine learning in non-stationary environments : introduction to covariate shift adaptation /
por: Sugiyama, Masashi, 1974-
Publicado: (2012)

Building Machine Learning Systems with Python : Explore Machine Learning and Deep Learning Techniques for Building Intelligent Systems Using Scikit-Learn and TensorFlow, 3rd Edition.
por: Pedro Coelho, Luis
Publicado: (2018)

The applied TensorFlow and Keras workshop.
por: Chadha, Harveen Singh, et al.
Publicado: (2020)

Hands-On Generative Adversarial Networks with Keras : Your Guide to Implementing Next-Generation Generative Adversarial Networks.
por: Valle, Rafael, 1985-
Publicado: (2019)

Hands-On Deep Learning Architectures with Python : Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras.
por: Liu, Yuxi (Hayden)
Publicado: (2019)

Deep Learning with Pytorch Quick Start Guide : Learn to Train and Deploy Neural Network Models in Python.
por: Julian, David
Publicado: (2018)

Learning kernel classifiers : theory and algorithms /
por: Herbrich, Ralf
Publicado: (2002)

Ensemble Machine Learning Cookbook : Over 35 Practical Recipes to Explore Ensemble Machine Learning Techniques Using Python.
por: Sarkar, Dipayan
Publicado: (2019)

Machine Learning with Go Quick Start Guide : Hands-On Techniques for Building Supervised and Unsupervised Machine Learning Workflows.
por: Bironneau, Michael
Publicado: (2019)

Getting started with deep learning /
por: Patterson, Josh (Consultant), et al.
Publicado: (2018)

Machine Learning Algorithms : Popular Algorithms for Data Science and Machine Learning, 2nd Edition.
por: Bonaccorso, Giuseppe
Publicado: (2018)

Mastering machine learning algorithms : expert techniques to implement popular machine learning algorithms and fine-tune your models /
por: Bonaccorso, Giuseppe
Publicado: (2018)

Mastering machine learning algorithms : expert techniques to implement popular machine learning algorithms and fine-tune your models /
por: Bonaccorso, Giuseppe
Publicado: (2018)

Practical artificial intelligence and blockchain : a guide to converging blockchain and AI to build smart applications for new economies /
por: Kumble, Ganesh Prasad
Publicado: (2020)

MATLAB for machine learning : functions, algorithms, and use cases /
por: Ciaburro, Giuseppe
Publicado: (2017)

MATLAB for machine learning : functions, algorithms, and use cases /
por: Ciaburro, Giuseppe
Publicado: (2017)

Mastering Machine Learning Algorithms : Expert techniques to implement popular machine learning algorithms and fine-tune your models.
por: Bonaccorso c/o Quandoo, Giuseppe
Publicado: (2018)

Applied Supervised Learning with R : Use Machine Learning Libraries of R to Build Models That Solve Business Problems and Predict Future Trends.
por: Ramasubramanian, Karthik
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_isrb320nfcn0n4899bp0hbj7fe