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Qi Yan Cheng
  • Language: en

Qi Yan Cheng

  • Type: Book
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  • Published: 1984
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  • Publisher: Unknown

None

Qi yan
  • Language: zh-CN
  • Pages: 196

Qi yan

  • Type: Book
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  • Published: 1927
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  • Publisher: Unknown

None

Gao Wen Ding Du Wei Liu Dao San Re Qi Yan Jiu
  • Language: en

Gao Wen Ding Du Wei Liu Dao San Re Qi Yan Jiu

  • Type: Book
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  • Published: 2011
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  • Publisher: Unknown

None

Amazing you
  • Language: en
  • Pages: 856

Amazing you

The world needs to be more inclusive, and we have been working hard for this. We work hard, live hard, and try to love someone. There is always too much suffering in life, but stick to it. There will always be someone who comes to you, loves you wholeheartedly, tolerates you, and regards you as the most important thing in her life. You have to believe.

Zu Huai Mo Ni Qi Yan Fa Ti Gong Zu Huai Fu Mu Ce Shi
  • Language: en

Zu Huai Mo Ni Qi Yan Fa Ti Gong Zu Huai Fu Mu Ce Shi

  • Type: Book
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  • Published: 2010
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  • Publisher: Unknown

None

Early-stage Evolution of the Neo-Y Chromosome in Drosophila Albomicans
  • Language: en

Early-stage Evolution of the Neo-Y Chromosome in Drosophila Albomicans

  • Type: Book
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  • Published: 2011
  • -
  • Publisher: Unknown

None

Alpha -GalCer Ji Qi Yan Sheng Wu Zhi He Cheng
  • Language: en

Alpha -GalCer Ji Qi Yan Sheng Wu Zhi He Cheng

  • Type: Book
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  • Published: 2010
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  • Publisher: Unknown

None

Computational Methods for Deep Learning
  • Language: en
  • Pages: 235

Computational Methods for Deep Learning

The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this book. The second edition of this textbook presents control theory, transformer models, and graph neural networks (GNN) in deep learning. We have incorporated the latest algorithmic advances and large-scale deep learning models, such as GPTs, to align with the current research trends. Through the second edition, this book showcases how computational methods in deep learning serve as a dynamic driving force in this era of artificial intelligence (AI). This book is intended for research students, engineers, as well as computer scientists with interest in computational methods in deep learning. Furthermore, it is also well-suited for researchers exploring topics such as machine intelligence, robotic control, and related areas.

Computational Methods for Deep Learning
  • Language: en
  • Pages: 134

Computational Methods for Deep Learning

Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from graphical theory, mathematical models, and algorithmic implementation, as well as covers datasets preparation, programming, results analysis and evaluations. Beginning with a grounding about artificial neural networks with neurons and the activation functions, the work then explains the mechanism of deep learning using advanced mathematics. In particular, it emphasizes how to use TensorFlow and the...

Du lü qi yan ji jie
  • Language: zh-CN
  • Pages: 202

Du lü qi yan ji jie

  • Type: Book
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  • Published: 1696
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  • Publisher: Unknown

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