Deep Learning
MIT Press Essential Knowledge Series
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Audible会員プラン 無料体験
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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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岩村圭南の1分間イングリッシュ (スピーキング編Vol.2)
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NHKラジオ英会話「レッツスピーク」の人気講師、岩村圭南先生が実践する、1分間でできる英語トレーニング。初級者から中級以上まで、幅広い層を対象に「実際に声を出すトレーニング」のミニレッスンを50本収録。 単語やひとつのフレーズだけを取り出して覚えるのではなく、その会話や説明文をひとまとめのシークエンスとして練習するスタイルを取っており、実用性も高いコンテンツです。英語音声だけの収録ではなく講師の岩村先生トークも合わせて入っているため、「番組」を聞くだけでいつでも手軽に学習できます。英語の筋肉を鍛えたい方におすすめ。
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Iyengar provides essential tools to spark creative thinking and help us make our most meaningful choices. She draws from recent advances in neuro- and cognitive sciences to give listeners a set of practical steps for coming up with powerful new ideas. Think Bigger offers an innovative evidence-backed method for generating big ideas that Iyengar and her team of researchers developed and refined over the last decade.
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Since the original publication of Nudge more than a decade ago, the title has entered the vocabulary of businesspeople, policy makers, engaged citizens, and consumers everywhere. The book has given rise to more than 200 "nudge units" in governments around the world and countless groups of behavioral scientists in every part of the economy. It has taught us how to use thoughtful "choice architecture" - a concept the authors invented - to help us make better decisions for ourselves, our families, and our society.
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