Handbook of Deep Learning Applications

This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, big data processing, hierarchical d...

Ful tanımlama

Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Balas, Valentina Emilia (Editör), Roy, Sanjiban Sekhar (Editör), Sharma, Dharmendra (Editör), Samui, Pijush (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edisyon:1st ed. 2019.
Seri Bilgileri:Smart Innovation, Systems and Technologies, 136
Konular:
Computational intelligence.
Artificial intelligence.
Signal processing.
Neural networks (Computer science) .
Data mining.
Computational Intelligence.
Artificial Intelligence.
Signal, Speech and Image Processing.
Mathematical Models of Cognitive Processes and Neural Networks.
Data Mining and Knowledge Discovery.
Online Erişim:Full-text access
İçindekiler:
  • Designing a Neural Network from scratch for Big Data powered by Multi-node GPUs
  • Deep Learning for Scene Understanding
  • Deep Learning for Driverless Vehicles
  • Deep Learning for Document Representation
  • Deep learning for marine species recognition
  • Deep molecular representation in Cheminformatics
  • Deep Learning in eHealth
  • Deep Learning for Brain Computer Interfaces
  • Deep Learning in Gene Expression Modeling.

Benzer Materyaller