Cargando…

Neuronale Netze selbst programmieren : ein verständlicher Einstieg mit Python /

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Rashid, Tariq (Data scientist) (Autor)
Otros Autores:	Langenau, Frank (Traductor), Rashid, Tariq
Formato:	Electrónico eBook
Idioma:	Alemán Inglés
Publicado:	Heidelberg : Dpunkt.verlag, [2017]
Edición:	1. Auflage.
Temas:	Neural networks (Computer science) Python (Computer program language) Réseaux neuronaux (Informatique) Python (Langage de programmation)
Acceso en línea:	Texto completo (Requiere registro previo con correo institucional)

Ejemplares similares

GANs mit PyTorch selbst programmieren
por: Rashid, Tariq (Data scientist)
Publicado: (2020)

Mastering PyTorch : build powerful neural network architectures using advanced PyTorch 1.x features /
por: Jha, Ashish Ranjan
Publicado: (2021)

Deep learning with Python) /
por: Chollet, François
Publicado: (2021)

Python deep learning : next generation techniques to revolutionize computer vision, AI, speech and data analysis /
por: Zocca, Valentino, et al.
Publicado: (2017)

Python deep learning : next generation techniques to revolutionize computer vision, AI, speech and data analysis /
por: Zocca, Valentino, et al.
Publicado: (2017)

Performance tuning deep learning in Python : a masterclass.
Publicado: (2021)

Applied deep learning with TensorFlow 2 : learn to implement advanced deep learning techniques with Python /
por: Michelucci, Umberto
Publicado: (2022)

Applied deep learning with TensorFlow 2 : learn to implement advanced deep learning techniques with Python /
por: Michelucci, Umberto
Publicado: (2022)

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

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

PyTorch kompakt : Syntax, Design Patterns und Codebeispiele für Deep-Learning-Modelle /
por: Papa, Joe
Publicado: (2022)

Deep learning using Keras : a complete and compact guide for beginners /
Publicado: (2021)

Recurrent neural networks with Python Quick Start Guide : sequential learning and language modeling with TensorFlow /
por: Kostadinov, Simeon
Publicado: (2018)

PyTorch Deep Learning Hands-On : Apply Modern AI Techniques with CNNs, RNNs, GANs, Reinforcement Learning, and More /
por: Thomas, Sherin
Publicado: (2019)

PyTorch recipes : a problem-solution approach /
por: Mishra, Pradeepta
Publicado: (2019)

NLP in Action with PyTorch and Nessvectors : What's in a name?
Publicado: (2021)

Python fundamentals /
Publicado: (2019)

Deep learning for natural language processing : creating neural networks with Python /
por: Goyal, Palash, et al.
Publicado: (2018)

Keras deep learning cookbook : over 30 recipes for implementing deep neural networks in Python /
por: Dua, Rajdeep, et al.
Publicado: (2018)

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

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

Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects /
por: Loy, James
Publicado: (2019)

Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects /
por: Loy, James
Publicado: (2019)

Deep Learning with PyTorch (Audiobook) /
por: Stevens, Eli, et al.
Publicado: (2020)

Image analysis and text classification using CNNs in PyTorch : learn to build powerful image and document classifiers in minutes /
Publicado: (2018)

Building Recommender systems with machine learning and AI /
Publicado: (2018)

Deep learning with PyTorch /
Publicado: (2018)

Artificial intelligence and machine learning fundamentals /
Publicado: (2019)

Introduction to deep learning and neural networks with Python /
por: Gad, Ahmed, et al.
Publicado: (2020)

Deep neuro-fuzzy systems with Python : with case studies and applications from the industry /
por: Singh, Himanshu, et al.
Publicado: (2020)

Applied neural networks with TensorFlow 2 : API oriented deep learning with Python /
por: Yalçın, Orhan Gazi
Publicado: (2021)

Deep learning with Python /
por: Chollet, François
Publicado: (2021)

Deep learning with Python /
por: Chollet, François
Publicado: (2021)

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

Introduction to deep learning using PyTorch : create simple neural networks in Python using PyTorch /
Publicado: (2018)

Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more /
por: Atienza, Rowel
Publicado: (2018)

Automated deep learning using neural network intelligence : develop and design PyTorch and TensorFlow models using Python /
por: Gridin, Ivan
Publicado: (2022)

Deep Learning mit Python und Keras : Das Praxis-Handbuch vom Entwickler der Keras-Bibliothek /
por: Chollet, François
Publicado: (2018)

Deep learning with Python /
por: Chollet, François
Publicado: (2018)

Grokking deep learning /
por: Trask, Andrew W.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_h76oauinlvm9s17ism85eaqvgu