Jo Deep Learning Foundations
1. Auflage 2023
ISBN: 978-3-031-32879-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 426 Seiten
Reihe: Engineering
ISBN: 978-3-031-32879-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
Introduction.- Part I. Foundation.- Supervised Learning.- Unsupervised Learning.- Ensemble Learning.- Part II. Deep Machine Learning.- Deep K Nearest Neighbor.- Deep Probabilistic Learning.- Deep Decision Tree.- Deep SVM.- Part III. Deep Neural Networks.- Multiple Layer Perceptron.- Recurrent Networks.- Restricted Boltzmann Machine.- Convolutionary Neural Networks.- Part IV. Textual Deep Learning.- Index Expansion.- Text Summarization.- Textual Deep Operations.- Convolutionary Text Classifier.- Conclusion.