
Deep Learning
MIT Press Essential Knowledge Series
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Audibleプレミアムプラン30日間無料体験
¥2,200 で購入
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ナレーター:
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Joel Richards
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著者:
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John D. Kelleher
このコンテンツについて
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 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 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.
©2019 Massachusetts Institute of Technology (P)2019 Gildan Mediaこちらもおすすめ
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Bertrand Russell (May 18, 1872 - February 2, 1970) was born in Monmouthshire into one of the most prominent anti-war aristocractic families in Britain. Russell was a philosopher, logician, mathematician, historian, prominent anti-war activist, and an outspoken opponent of nuclear weapons. In 1950, Russell was awarded the Nobel prize in Literature. The following is a 1959 speech on nuclear disarmament.
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The Theory That Would Not Die
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Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. Sharon Bertsch McGrayne here explores this controversial theorem and the human obsessions surrounding it.
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It’s Robert Kiyosaki’s position that, “It is our educational system that causes the gap between the rich and everyone else.” He laid the foundation for many of his messages in the international best seller Rich Dad Poor Dad, the number one personal finance book of all time, and in Why the Rich Are Getting Richer, he makes his case.
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The author is right. I can assure so as a CPA/MBA.
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In this audiobook, you'll get a clear overview of artificial intelligence technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field.
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