Transformers for machine learning : a deep dive /

Playing with GANs : building, coding, and modifying deep learning GAN models.
Published: (2021)

How smart machines think /
by: Gerrish, Sean
Published: (2018)

Principles and labs for deep learning /
by: Huang, Shih-Chia
Published: (2021)

Hands-on deep learning with TensorFlow /
Published: (2018)

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

Shen du xue xi : nei hang ren de zuo fa = Deep learning : a practitioner's approach /
by: Patterson, Josh (Consultant), et al.
Published: (2019)

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

Deep learning with Python /
by: Chollet, François
Published: (2021)

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

Deep learning with Python /
by: Chollet, François
Published: (2021)

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

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

Applied deep learning and computer vision for self-driving cars : build autonomous vehicles using deep neural networks and behavior-cloning techniques /
by: Ranjan, Sumit, et al.
Published: (2020)

Hands-on Java deep learning for computer vision : implement machine learning and neural network methodologies to perform computer vision-related tasks /
by: Ramo, Klevis
Published: (2019)

Machine learning with neural networks : an introduction for scientists and engineers /
by: Mehlig, Bernhard, 1964-
Published: (2021)

Python shen du xue xi ru men : cong ling gou jian CNN he RNN = Deep learning from scratch /
by: Weidman, Seth
Published: (2021)

Deep learning and neural networks in PyTorch for beginners /
Published: (2018)

Deep learning projects with PyTorch /
Published: (2018)

Getting started with neural nets in R /
Published: (2018)

TensorFlow 1.x deep learning recipes for artificial intelligence applications /
Published: (2018)

Convergence analysis of recurrent neural networks /
by: Yi, Zhang
Published: (2004)

Self-organizing neural networks : recent advances and applications /
Published: (2001)

Theory of neural information processing systems /
by: Coolen, A. C. C. (Anthony C. C.), 1960-, et al.
Published: (2023)

TensorFlow shen du xue xi ke cheng : shen du shen jing wang luo zai ji qi xue ren wu de ying yong.
Published: (2017)

An introduction to deep learning methods.
Published: (2019)

Computational intelligence for connective cognition networks : advances, and applications /
Published: (2026)

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

Neural networks : advances and applications, 2 /
Published: (1992)

SN Video coding and web development.
Published: (2020)

Practical convolutional neural networks /
by: Sewak, Mohit, et al.
Published: (2018)

Deep learning in Python : creating a convolutional neural network.
Published: (2019)

Deep learning in Python : setting up your tools.
Published: (2019)

Deep learning in Python : selecting hyperparameters.
Published: (2019)

Deep learning in Python : different types of deep learning network.
Published: (2019)

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

A guide to neural computing applications /
by: Tarassenko, Lionel
Published: (1998)