Deep Learning Methods and Application

Deep Learning: Methods and Applications

📁 Deep Learning: Methods and Applications

✍ Li Deng, Dong Yu 📂 Library 📅 2014 🏛 Now Publishers 🌐 English

Deep Learning: Methods and Applications provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks. The application areas are chosen with the following three criteria in mind: (1) expertise or knowledge of the authors; (2) t

Applied Deep Learning: Tools, Techniques

📁 Applied Deep Learning: Tools, Techniques, and Implementation (Computational Intelligence Methods and Applications)

✍ Paul Fergus, Carl Chalmers 📂 Library 📅 2022 🏛 Springer 🌐 English

This book focuses on the applied aspects of artificial intelligence using enterprise frameworks and technologies. The book is applied in nature and will equip the reader with the necessary skills and understanding for delivering enterprise ML technologies. It will be valuable for undergradu

Applied Deep Learning: Tools, Techniques

📁 Applied Deep Learning: Tools, Techniques, and Implementation (Computational Intelligence Methods and Applications)

✍ Paul Fergus, Carl Chalmers 📂 Library 📅 2022 🏛 Springer 🌐 English

This book focuses on the applied aspects of artificial intelligence using enterprise frameworks and technologies. The book is applied in nature and will equip the reader with the necessary skills and understanding for delivering enterprise ML technologies. It will be valuable for undergradu

Diagnostic Biomedical Signal and Image P

📁 Diagnostic Biomedical Signal and Image Processing Applications With Deep Learning Methods: With Deep Learning Methods

✍ Kemal Polat, Saban Öztürk 📂 Library 📅 2023 🏛 Academic Press 🌐 English

Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods presents comprehensive research on both medical imaging and medical signals analysis. The book discusses classification, segmentation, detection, tracking and retrieval applications of non

Computational Methods for Deep Learning:

📁 Computational Methods for Deep Learning: Theoretic, Practice and Applications

✍ Wei Qi Yan 📂 Library 📅 2021 🏛 Springer 🌐 English

In this book, we work for the contents for knowledge transfer from the viewpoint of machine intelligence. We adopt the methodology from graphical theory, mathematical models, algorithmic implementation as well as datasets preparation, programming, results analysis and evaluations. We start from unde

Computational Methods for Deep Learning:

📁 Computational Methods for Deep Learning: Theoretic, Practice and Applications

✍ Wei Qi Yan 📂 Library 📅 2021 🏛 Springer International Publishing;Springer 🌐 English

Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the metho