Cargando…

Deep learning with relational logic representations /

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Šír, Gustav (Autor)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Amsterdam : IOS Press, 2022.
Colección:	Frontiers in artificial intelligence and applications ; v. 357.
Temas:	Deep learning (Machine learning)
Acceso en línea:	Texto completo

Ejemplares similares

Essential tools for deep learning and data science.
Publicado: (2020)

End-to-end deep learning for predicting Airbnb prices /
Publicado: (2020)

Deep Learning avec Keras et TensorFlow
por: Géron, Aurélien
Publicado: (2020)

Deep Learning avec Keras et TensorFlow
por: Géron, Aurélien
Publicado: (2020)

Deep learning : crash course 2023.
Publicado: (2023)

Training Ludwig declarative deep learning models using Mac Studio M1Ultra.
Publicado: (2022)

Deep learning /
Publicado: (2023)

Deep learning CNN : convolutional neural networks with Python.
Publicado: (2022)

Deep learning : a visual approach /
por: Glassner, Andrew S.
Publicado: (2021)

Deep learning on edge computing devices : design challenges of algorithm and architecture /
por: Zhou, Xichuan, et al.
Publicado: (2022)

DATA AUGMENTATION WITH PYTHON enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data /
por: Haba, Duc
Publicado: (2023)

Inside deep learning : math, algorithms, models /
por: Raff, Edward
Publicado: (2022)

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

Hands-on deep learning model training with the sequential API in Keras.
Publicado: (2020)

Computational methods and deep learning for ophthalmology /
Publicado: (2023)

Modern deep learning design and application development : versatile tools to solve deep learning problems /
por: Ye, Andre
Publicado: (2022)

Deep learning : computer vision for beginners using PyTorch.
Publicado: (2023)

Deep learning patterns and practices /
por: Ferlitsch, Andrew
Publicado: (2021)

Explainable deep learning AI : methods and challenges /
Publicado: (2023)

Evolutionary deep learning : genetic algorithms and neural networks /
por: Lanham, Micheal
Publicado: (2023)

Deep learning for medical applications with uniue data /
Publicado: (2022)

Neural Search, from Prototype to Production with Jina Build Deep Learning-Powered Search Systems That You Can Deploy and Manage with Ease /
por: Wang, Bo (Artificial intelligence scientist), et al.
Publicado: (2022)

Deep learning in time series analysis /
por: Gharehbaghi, Arash, 1972-
Publicado: (2023)

Fundamentals of neural networks.
Publicado: (2022)

Machine learning y deep learning : usando Python, Scikit y Keras /
por: Bobadilla Sancho, Jesús
Publicado: (2020)

Python for deep learning : build neural networks in Python.
Publicado: (2022)

Seisei deep learning : e o egaki, monogari o tsukuri, gēmu o pureisuru /
por: Foster, David (Business consultant)
Publicado: (2020)

PyTorch to fastai de hajimeru dīpu rāningu : enjinia no tame no AI apurikēshon kaihatsu /
por: Howard, Jeremy (Scientist), et al.
Publicado: (2021)

Applying the idiomatic design pattern to convolutional neural networks /
Publicado: (2020)

Advanced analytics and deep learning models /
Publicado: (2022)

Data science prerequisites : Numpy, Matplotlib, and Pandas in Python.
Publicado: (2023)

3D DEEP LEARNING WITH PYTHON design and develop your computer vision model with 3D data using PyTorch3D and more /
por: Ma, Xudong
Publicado: (2022)

Kikai gakushū enjinia no tame no Transformers : saisentan no shizen gengo shori raiburari ni yoru moderu kaihatsu /
por: Tunstall, Lewis, et al.
Publicado: (2022)

THE REGULARIZATION COOKBOOK explore practical recipes to improve the functionality of your ML models /
por: Vandenbussche, Vincent
Publicado: (2023)

Bioinformatics and medical applications : big data using deep learning algorithms /
Publicado: (2022)

Understanding Horovod for distributed gradient descent in PyTorch.
Publicado: (2020)

Deep learning technologies for social impact /
por: Benedict, Shajulin
Publicado: (2022)

Deep learning in personalized healthcare and decision support /
Publicado: (2023)

Enhancing Deep Learning with Bayesian Inference Create More Powerful, Robust Deep Learning Systems with Bayesian Deep Learning in Python /
por: Benatan, Matt
Publicado: (2023)

Learn to setup Mac M1 with Tensorflow Metal /
Publicado: (2022)