Kelleher, John D.
Deep Learning (MIT Press Essential Knowledge series)
- ISBN 13:
- 9780262537551
- author:
- Kelleher, John D.
- format:
- Paperback / softback
- publisher:
- MIT Press
- language:
- English
- Publication Year:
- 2019
- Pages:
- 296
- Dimensions:
- 17.8 x 12.7 x 1.9 centimetres
- Genre:
- Computers, Artificial Intelligence, ,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Deep learning is an artificial intelligence technology that powers many modern applications, from computer vision and speech recognition to machine translation and driverless cars. In this comprehensive introduction, John Kelleher explains how deep learning enables data-driven decisions by identifying patterns in large datasets. Kelleher covers the fundamental concepts of deep learning, including its history, key architectures such as autoencoders and recurrent neural networks, and two crucial algorithms: gradient descent and backpropagation. He also discusses recent developments like Generative Adversarial Networks and capsule networks, providing a thorough understanding of this rapidly evolving field. This book offers a concise yet comprehensive overview of deep learning, making it an ideal resource for those looking to understand the technology behind many modern applications.
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