Deep learning : methods and applications / Li Deng, Dong Yu.

Includes bibliographical references.

Endorsement 1. Introduction 2. Some Historical Context of Deep Learning 3. Three Classes of Deep Learning Networks 4. Deep Autoencoders - Unsupervised Learning 5. Pre-Trained Deep Neural Networks - A Hybrid 6. Deep Stacking Networks and Variants - Supervised Learning 7. Selected Applications in Speech and Audio Processing 8. Selected Applications in Language Modeling and Natural Language Processing 9. Selected Applications in Information Retrieval 10. Selected Applications in Object Recognition and Computer Vision 11. Selected Applications in Multimodal and Multi-task Learning 12. Conclusion References

Provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks. This is a timely and important book for researchers and students with an interest in deep learning methodology

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