MATLAB deep learning : with machine learning, neural networks and artificial intelligence /: with machine learning, neural networks and artificial intelligence. (2017)
- Record Type:
- Book
- Title:
- MATLAB deep learning : with machine learning, neural networks and artificial intelligence /: with machine learning, neural networks and artificial intelligence. (2017)
- Main Title:
- MATLAB deep learning : with machine learning, neural networks and artificial intelligence
- Further Information:
- Note: Phil Kim.
- Authors:
- Kim, Phil
- Contents:
- At a Glance; Contents; About the Author; About the Technical Reviewer; Acknowledgments; Introduction; Chapter 1: Machine Learning; What Is Machine Learning?; Challenges with Machine Learning; Overfitting; Confronting Overfitting; Types of Machine Learning; Classification and Regression; Summary; Chapter 2: Neural Network; Nodes of a Neural Network; Layers of Neural Network; Supervised Learning of a Neural Network; Training of a Single-Layer Neural Network: Delta Rule; Generalized Delta Rule; SGD, Batch, and Mini Batch; Stochastic Gradient Descent; Batch; Mini Batch. Example: Delta RuleImplementation of the SGD Method; Implementation of the Batch Method; Comparison of the SGD and the Batch; Limitations of Single-Layer Neural Networks; Summary; Chapter 3: Training of Multi-Layer Neural Network; Back-Propagation Algorithm; Example: Back-Propagation; XOR Problem; Momentum; Cost Function and Learning Rule; Example: Cross Entropy Function; Cross Entropy Function; Comparison of Cost Functions; Summary; Chapter 4: Neural Network and Classification; Binary Classification; Multiclass Classification; Example: Multiclass Classification; Summary. Chapter 5: Deep LearningImprovement of the Deep Neural Network; Vanishing Gradient; Overfitting; Computational Load; Example: ReLU and Dropout; ReLU Function; Dropout; Summary; Chapter 6: Convolutional Neural Network; Architecture of ConvNet; Convolution Layer; Pooling Layer; Example: MNIST; Summary; Index.
- Publisher Details:
- New York, NY : Apress
- Publication Date:
- 2017
- Extent:
- 1 online resource
- Subjects:
- 511/.8
Computer science
Machine learning
Neural networks (Computer science)
Big data
Artificial intelligence
MATHEMATICS -- General
COMPUTERS -- Neural Networks
Machine learning
Neural networks (Computer science)
Computers -- Intelligence (AI) & Semantics
Mathematics -- Logic
Computers -- Programming Languages -- General
Computers -- Programming -- General
Artificial intelligence
Mathematical theory of computation
Programming & scripting languages: general
Computer programming / software development
Computers -- Database Management -- General
Databases
Electronic books - Languages:
- English
- ISBNs:
- 9781484228456
1484228456
1484228448
9781484228449 - Related ISBNs:
- 9781484228449
- Notes:
- Note: Includes bibliographical references and index.
Note: Vendor-supplied metadata. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.359907
- Ingest File:
- 03_016.xml