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Mathematical Foundations of Deep Learning Theory and Algorithms Explained

Springer Nature
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Mathematical Foundations of Deep Learning Theory and Algorithms Explained

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Master Deep learning mathematical foundations covering linear algebra, optimization, calculus, probability, and machine learning algorithms.

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Additional information

Additional information

Authors

Xiaojing Ye

Publisher

Springer Nature

Published On

0101-01-01

Language

English

File Format

PDF

File Size

6.85 MB

Rating

⭐️⭐️⭐️⭐️⭐️ 4.59

Description

Mathematical Foundations of Deep Learning Theory and Algorithms Explained
Master Deep learning mathematical foundations covering linear algebra, optimization, calculus, probability, and machine learning algorithms.

Additional information

Authors

Xiaojing Ye

Publisher

Springer Nature

Published On

0101-01-01

Language

English

File Format

PDF

File Size

6.85 MB

Rating

⭐️⭐️⭐️⭐️⭐️ 4.59

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