Trefferliste "Deep Learning" - alle Bücher, CDs und LPs

Jimi Tenor

Deep Sound Learning (1993 - 2000)

Jimi Tenor blickt auf eine beinahe 30-jährige Karriere und mittlerweile über 20 veröffentliche Alben auf den renommiertesten Labels wie Warp Records, Sähkö oder Kitty-Yo zurück. Dennoch gibt sich der finn…

Deeper Learning in der Hochschuldidaktik

Deeper Learning beschreibt eine innovative Pädagogik, die Lernende von passiven Wissensempfängern zu aktiv-handelnden Gestaltern in ihrem (über-)fachlichen Kompetenz- und Wissenserwerb führt. Kommunikatio…

Taeho Jo

Deep Learning Foundations

This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations, deep machine learning, deep neural networks, and textual deep learning. The fir…

Shallow Learning vs. Deep Learning

This book explores the ongoing debate between shallow and deep learning in the field of machine learning. It provides a comprehensive survey of machine learning methods, from shallow learning to deep lear…

Jayakumar Singaram, Azad M. Madni, S. S. Iyengar

Deep Learning Networks

This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep learni…

Grigory Sapunov

Deep Learning with JAX

Accelerate deep learning and other number-intensive tasks with JAX, Googles awesome high-performance numerical computing library.

Charles Ravarani, Natasha Latysheva

Deep Learning for Biology

Bridge the gap between biology and cutting-edge machine learning techniques with this essential guide. Train and interpret deep learning models and answer fundamental biological questions. Whether your ba…

Zhe Wang, Chao Pu, Felice Wang

Deep Learning Recommender Systems

Recommender systems are ubiquitous in modern life and are one of the main monetization channels for Internet technology giants. This book helps graduate students, researchers and practitioners to get to g…

Deep Ray, Assad A. Oberai, Orazio Pinti

Deep Learning and Computational Physics

The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It exploits strong connections between deep learning algorithms a…

Lasha Abzianidze, Lisa Bylinina, Denis Paperno

Semantics and Deep Learning

This Element covers the interaction of two research areas: linguistic semantics and deep learning. It focuses on three phenomena central to natural language interpretation: reasoning and inference; compos…

Lasha Abzianidze, Lisa Bylinina, Denis Paperno

Semantics and Deep Learning

This Element covers the interaction of two research areas: linguistic semantics and deep learning. It focuses on three phenomena central to natural language interpretation: reasoning and inference; compos…

Ayush Somani, Dilip K. Prasad, Alexander Horsch

Interpretability in Deep Learning

This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures. In additi…

Ronald T. Kneusel

Practical Deep Learning, 2nd Edition

If you've been curious about artificial intelligence and machine learning but didn't know where to start, this is the book you've been waiting for. Focusing on the subfield of machine learning known as de…

Reinhard Heckel

Deep Learning for Computational Imaging

This textbook offers an introduction to deep learning for solving inverse problems. It introduces deep neural networks and deep neural network based signal and image reconstruction techniques. It discusse…

Suneeta Mall

Deep Learning at Scale

"Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that …

Zekâi ¿En

Shallow and Deep Learning Principles

This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least…

M Martinez-Ramon

Deep Learning: A Practical Introduction

An engaging and accessible introduction to deep learning perfect for students and professionals In Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a book complete wit…

Phonophani

Animal Imagination

Deep Learning Theory and Applications

The two-volume set CCIS 2171 and 2172 constitutes the refereed best papers from the 5th International Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, du…