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Deep Learning by John D. Kelleher

• Deep Learning
• John D. Kelleher
• Page: 296
• Format: pdf, ePub, mobi, fb2
• ISBN: 9780262537551
• Publisher: MIT Press

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Free downloadable books in pdf Deep Learning

An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning—major trends, possible developments, and significant challenges.

Deep learning explained | InfoWorld
Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the  Deep Learning & Artificial Neural Networks
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Deep Learning is a rapidly growing area of machine learning. To learn more, check out our deep learning tutorial. (There is also an older version, which has also  Deep learning - Wikipedia
Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Want to know how Deep Learning works? Here's a quick guide for
Once you've read this article, you will understand the basics of AI and ML. More importantly, you will understand how Deep Learning, the most  Deep Learning | Coursera
Learn Deep Learning from deeplearning.ai. If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought  Deep Learning
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in  Deep Learning tagged stories - MIT Technology Review
News and reporting on deep learning algorithms and their applications, from MIT Technology Review. Deep Learning with TensorFlow: Applications of Deep Neural
6+ Hours of Video Instruction Deep Learning with TensorFlow LiveLessons is an introduction to Deep Learning that bring the revolutionary machine-learning  Deep Learning Definition | DeepAI
Deep learning is a machine learning method using multiple layers of nonlinear processing units to extract features from data. Find out more on DeepAI.

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