Cover Image

Deep Learning illustriert

Das Buch bietet einen einfachen Zugang zum Aufbau von Deep-Learning-Modellen und erleichtert das Lernen mit farbenfrohen, lebendigen Illustrationen. Teil I erklärt, was Deep Learning ist, warum es so allgegenwärtig geworden ist und wie es sich auf Konzepte und Terminologien wie Künstliche Intelligen...

Full description

Bibliographic Details
Main Author:	Bassens, Aglaé
Other Authors:	Beyleveld, Grant, Krohn, Jon
Format:	eBook
Language:	Undetermined
Published:	[S.l.] : dpunkt, 2020.
Subjects:	Artificial intelligence. Machine learning. Intelligence artificielle. Apprentissage automatique. artificial intelligence.
Online Access:	Connect to the full text of this electronic book

Similar Items

The social implications of machine learning /
Published: (2019)

Real-world machine learning projects with Scikit-Learn /
Published: (2018)

Radar talks : Justin Norman on building ML/AI products.
Published: (2021)

TensorFlow pour le Deep learning
by: Ramsundar, Bharath
Published: (2018)

Einführung in TensorFlow : Deep-Learning-Systeme programmieren, trainieren, skalieren und deployen /
by: Hope, Tom (Data scientist), et al.
Published: (2018)

Chu tan shen du xue xi : shi yong TensorFlow = TensorFlow for deep learning : from linear regression to reinforcement learning /
by: Ramsundar, Bharath, et al.
Published: (2018)

Integrated intelligence : combining human and artificial intelligence for competitive advantage /
by: Lichtenthaler, Ulrich
Published: (2020)

MACHINE LEARNING FUNDAMENTALS concepts, models, and applications.
by: SAHAY, AMAR
Published: (2025)

Empowering artificial intelligence through machine learning : new advances and applications /
Published: (2022)

Machine learning : an artificial intelligence approach.
by: Bareiss, E. Ray
Published: (1990)

Deep learning Kochbuch : Praxisrezepte für einen schnellen Einstieg /
by: Osinga, Douwe
Published: (2019)

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

Deep learning en action
by: Gibson, Adam
Published: (2018)

Praxiseinstieg Deep Learning : mit Python, Caffe, TensorFlow und Spark eigene Deep-Learning-Anwendungen erstellen /
by: Wartala, Ramon
Published: (2018)

Infrastructure & ops superstream.
Published: (2026)

Artificial intelligence and machine learning : an intelligent perspective of emerging technologies.
Published: (2023)

Deep learning : a visual approach /
by: Glassner, Andrew S.
Published: (2021)

Machine learning methods for planning /
Published: (1993)

Machine learning : an artificial intelligence approach /
Published: (1983)

Hardware accelerator systems for artificial intelligence and machine learning /
Published: (2021)

Deep learning shen du xue xi ji chu : she ji xia yi dai ren gong zhi hui yan suan fa = Fundamentals of deep learning : designing next-generation machine intelligence algorithms /
by: Buduma, Nikhil
Published: (2018)

Getting started with vector databases and AI embeddings.
Published: (2025)

Applications of computational science in artificial intelligence /
Published: (2022)

Gefährliche Forschung? : Eine Debatte über Gleichheit und Differenz in der Wissenschaft /
Published: (2022)

Applied machine learning and AI for engineers : solve business problems that can't be solved algorithmically /
by: Prosise, Jeff
Published: (2023)

Full YOLOv4 pro course bundle /
Published: (2021)

Cutting-Edge Artificial Intelligence Applications /
by: Gouskir, Mohamed
Published: (2025)

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

Practical AI for healthcare professionals : machine learning with Numpy, Scikit-learn, and TensorFlow /
by: Suri, Abhinav
Published: (2022)

Keras to Kubernetes : the journey of a machine learning model to production /
by: Rao, Dattaraj
Published: (2019)

Machine learning for biomedical applications : with Scikit-Learn and PyTorch /
by: Deprez, Maria, et al.
Published: (2024)

TensorFlow in action /
by: Ganegedara, Thushan
Published: (2022)

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

Ugokashite manabu AI, kikai gakushū no kiso : TensorFlow ni yoru konpyūta bijon, shizen gengo shori, jikeiretsu dēta no yosoku to depuroi /
by: Moroney, Laurence
Published: (2022)

Assimilate OpenAI.
Published: (2022)

Einführung in Machine Learning mit Python : Praxiswissen Data Science /
by: Müller, Andreas C., et al.
Published: (2017)

Python de hajimeru kyōshi nashi gakushū : kikai gakushū no kanōsei o hirogeru raberu nashi dēta no riyō /
by: Patel, Ankur A.
Published: (2020)

Ji qi xue xi he AI jing cui.
Published: (2018)

MASTERING THE MINDS OF MACHINES a journey into deep learning and AI.
Published: (2025)

Scikit-learn, Keras, TensorFlow ni yoru jissen kikai gakushū /
by: Géron, Aurélien
Published: (2020)