Cargando…

Recurrent neural networks with Python Quick Start Guide: sequential learning and language modeling with TensorFlow

Detalles Bibliográficos
Autor principal:	Kostadinov, Simeon
Lenguaje:	eng
Publicado:	Packt Publishing 2018
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2659241

Ejemplares similares

TensorFlow 2.0 quick start guide: get up to speed with the newly introduced features of TensorFlow 2.0
por: Holdroyd, Tony
Publicado: (2019)

TensorFlow 2.0 quick start guide: get up to speed with the newly introduced features of TensorFlow 2.0
por: Holdroyd, Tony
Publicado: (2019)

Python for TensorFlow pocket primer
por: Campesato, Oswald
Publicado: (2019)

Hands-on convolutional neural networks with TensorFlow: solve computer vision problems with modeling in TensorFlow and Python
por: Zafar, Iffat
Publicado: (2018)

Getting started with TensorFlow
por: Géron, Aurélien
Publicado: (2017)

TensorFlow reinforcement learning quick start guide: get up and running with training and deploying intelligent, self-learning agents using Python
por: Balakrishnan, Kaushik
Publicado: (2019)

Neural network programming with TensorFlow: unleash the power of TensorFlow to train efficient neural networks
por: Ghotra, Manpreet Singh, et al.
Publicado: (2017)

Natural language processing with TensorFlow: teach language to machines using Python's deep learning library
por: Ganegedara, Thushan
Publicado: (2018)

TensorFlow: powerful predictive analytics with TensorFlow : predict valuable insights of your data with TensorFlow
por: Karim, Md Rezaul
Publicado: (2018)

Deep learning with TensorFlow: explore neural networks and build intelligent systems with Python
por: Zaccone, Giancarlo, et al.
Publicado: (2018)

Reinforcement learning: with open AI, TensorFlow and Keras using Python
por: Nandy, Abhishek, et al.
Publicado: (2017)

Reinforcement learning: with Open AI, TensorFlow and Keras using Python
por: Nandy, Abhishek, et al.
Publicado: (2018)

TensorFlow for dummies
por: Scarpino, Matthew
Publicado: (2018)

Python machine learning: machine learning and deep learning with Python, scikit-learn, and TensorFlow
por: Raschka, Sebastian, et al.
Publicado: (2017)

Applied reinforcement learning with Python: with OpenAI Gym, TensorFlow, and Keras
por: Beysolow, Taweh
Publicado: (2019)

Python machine learning: machine learning and deep learning with Python, scikit-learn, and TensorFlow 2
por: Raschka, Sebastian, et al.
Publicado: (2019)

Predictive analytics with TensorFlow
por: Karim, Md Rezaul
Publicado: (2017)

Machine learning with TensorFlow
por: Shukla, Nishant
Publicado: (2018)

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

Hands-on neural networks with TensorFlow 2.0: understand TensorFlow, from static graph to eager execution, and design neural networks
por: Galeone, Paolo
Publicado: (2019)

Hello, TensorFlow!: building and training your first TensorFlow graph from the ground up
por: Schumacher, Aaron
Publicado: (2016)

Deep learning quick reference: useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
por: Bernico, Michael
Publicado: (2018)

Building mobile applications with TensorFlow
por: Warden, Pete
Publicado: (2017)

TensorFlow 2 pocket primer
por: Campesato, Oswald
Publicado: (2019)

Python deep learning: exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow
por: Vasilev, Ivan
Publicado: (2019)

Hands-on transfer learning with Python: implement advanced deep learning and neural network models using TensorFlow and Keras
por: Sarkar, Dipanjan, et al.
Publicado: (2018)

Pro deep learning with TensorFlow: a mathematical approach to advanced artificial intelligence in Python
por: Pattanayak, Santanu
Publicado: (2017)

Deep learning with TensorFlow: take your machine learning knowledge to the next level with the power of TensorFlow
por: Zaccone, Giancarlo, et al.
Publicado: (2017)

Hands-on deep learning for images with TensorFlow: build intelligent computer vision applications using TensorFlow and Keras
por: Ballard, Will
Publicado: (2018)

Hands-on deep learning architectures with Python: create deep neural networks to solve computational problems using TensorFlow and Keras
por: Liu, Yuxi (Hayden), et al.
Publicado: (2019)

Deep learning with applications using Python: chatbots and face, object, and speech recognition with TensorFlow and Keras
por: Manaswi, Navin Kumar, et al.
Publicado: (2018)

Hands-on Q-learning with Python: practical Q-learning with OpenAI Gym, Keras, and TensorFlow
por: Habib, Nazia
Publicado: (2019)

Learning TensorFlow: a guide to building deep learning systems
por: Hope, Tom
Publicado: (2017)

Machine learning with TensorFlow 1.x
por: Hua, Quan, et al.
Publicado: (2016)

Python reinforcement learning projects: eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
por: Saito, Sean, et al.
Publicado: (2018)

What's new in TensorFlow 2.0: use the new and improved features of TensorFlow to enhance machine learning and deep learning
por: Baranwal, Ajay, et al.
Publicado: (2019)

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

Deep learning with Keras: implement neural networks with Keras on Theano and TensorFlow
por: Gulli, Antonio
Publicado: (2017)

Natural language processing with Python quick start guide: going from a Python developer to an effective natural language processing engineer
por: Kasliwal, Nirant
Publicado: (2018)

Beginning application development with TensorFlow and Keras: learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications
por: Capelo, Luis
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_agkeipnhu6dt4ttfh8fjp5un8b