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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

Deep Learning

Android books free download 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.

Software links | Deep Learning
MXNet – MXNet is a deep learning framework designed for both efficiency and Lasagne – Lasagne is a lightweight library to build and train neural networks in  Neural Networks and Deep Learning | Coursera
Learn Neural Networks and Deep Learning from deeplearning.ai. If you want to break into cutting-edge AI, this course will help you do so. Deep learning  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 (Adaptive Computation and Machine Learning
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and  Home - deeplearning.ai
Whether you want to build algorithms or build a company, deeplearning.ai's Machine Learning courses will teach you key concepts and applications of AI. What Is Deep Learning? | How It Works, Techniques & Applications
Deep learning is a machine learning technique that teaches computers to learn by example. Learn more about deep learning with MATLAB examples and tools. MIT 6.S191: Introduction to Deep Learning
6.S191: Introduction to Deep Learning. MIT's introductory course on deep learning methods and applications. Registration for 2019 is now open!

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