عنوان

Handbook of deep learning applications /

3030114791

9783030114794

3030114783

9783030114787

Handbook of deep learning applications /

[Book]

Valentina Emilia Balas, Sanjiban Sekhar Roy, Dharmendra Sharma, Pijush Samui, editors.

Cham, Switzerland :

Springer,

[2019]

1 online resource

Smart innovation, systems and technologies ;

volume 136

6.3 OCR for Latin Script

Intro; Contents; Designing a Neural Network from Scratch for Big Data Powered by Multi-node GPUs; 1 Introduction; 2 A Primer on Neural Networks; 3 A Mathematical Formalization of Neural Networks; 4 Problem and Dataset; 5 A Neural Network in Python; 6 A Distributed Neural Network Using a Message Queue for Communication; 7 A GPU-Powered Neural Network; 8 Discussion and Homework; 9 Conclusion; References; Deep Learning for Scene Understanding; 1 Introduction; 2 Object Recognition; 2.1 Object Recognition Pipeline; 2.2 Hand-Crafted Features for Object Recognition

2.1 Extraction of Properties (Metadata) for Indexing and for the Provision of Filter Criteria for the Search2.2 Classification of Documents Based on Specific Categories; 2.3 Automatic Creation of Company-Specific Dictionaries; 2.4 Statistics on Various Properties of Document Contents; 2.5 Automatic Translation; 3 Application of the Automated Document Analysis; 3.1 Historic Document Analysis; 3.2 Document Layout Analysis; 3.3 Text Extraction Form Scanned Documents and Digitizing the Information; 3.4 Automated Traffic Monitoring, Surveillance and Security Systems

2.3 Deep Learning Techniques for Object Recognition3 Face Detection and Recognition; 3.1 Non-deep Learning Techniques for Face Detection and Recognition; 3.2 Deep Learning for Face Detection and Recognition; 4 Text Detection in Natural Scenes; 4.1 Classical Approaches for Text Detection; 4.2 Deep Networks for Text Detection; 5 Depth Map Estimation; 5.1 Methodology of Depth Map Estimation; 5.2 Depth Map Estimation Using Pattern Matching; 5.3 Deep Learning Networks for Depth Map Estimation; 6 Scene Classification; 6.1 Scene Classification Using Handcrafted-Features

3.5 Automated Postal-Mail Sorting4 Significance of Deep Learning over Machine Learning; 4.1 Deep Learning Techniques and Architecture; 5 Peculiarities and Challenges for OCR with Deep Learning; 5.1 Dataset; 5.2 Data Interoperability and Data Standards; 5.3 Build and Integrate Big Image Dataset; 5.4 Language and Script Peculiarities; 5.5 Black Box and Deep Learning; 5.6 Processing Hardware Power; 5.7 Implementation (Available Libraries) Can Be Hardware Dependent; 6 Machine Learning, Deep Learning and Optical Character Recognition; 6.1 OCR for Arabic like Script; 6.2 OCR for Symbolic Script

6.2 Scene Classification Using Deep Features7 Caption Generation; 7.1 Deep Networks for Caption Generation; 8 Visual Question Answering (VQA); 8.1 Deep Learning Methods for VQA; 9 Integration of Scene Understanding Components; 9.1 Non-deep Learning Works for Holistic Scene Understanding; 9.2 Deep Learning Based Works for Holistic Scene Understanding; 10 Conclusion; References; An Application of Deep Learning in Character Recognition: An Overview; 1 Introduction; 2 Objectives of Document Analysis

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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 deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph. D. scholars.

Springer Nature

com.springer.onix.9783030114794

Handbook of Deep Learning Applications.

9783030114787

Machine learning, Handbooks, manuals, etc.

Machine learning.

Balas, Valentina Emilia

Roy, Sanjiban Sekhar

Samui, Pijush

Sharma, Dharmendra

20200823082731.0

pn

[Book]

Y