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Math for Deep Learning: What You Need to Know to Understand Neural Networks
No Starch | 2021 | English | 9781718501904 | 344 pages | PDF, EPUB, MOBI | 81 MB
共 2184 篇文章
标签：Algorithms 第96页
Implementing Useful Algorithms in C++
Independently published (December 8, 2020) | English | 9798605325307
Machine Learning A Bayesian and Optimization Perspective 2nd Edition
Academic ; 2 edition (April 3,2020) | English | 9780128188033
Inside Deep Learning: Math, Algorithms, Models
Manning; Annotated edition (May 24, 2022) | English | 9781617298639
Introduction to Algorithms 4th Edition
The MIT ; 4th edition (April 5, 2022) | English | 9780262046305
Implementation of Machine Learning Algorithms Using Control-flow and Dataflow Paradigms
Engineering Science Reference (11 Mar. 2022) | English | 9781799883500
Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark
O'Reilly Media; 1st edition (May 17, 2022) | English | 9781492082385
Deep Learning Systems: Algorithms,Compilers,and Processors for Large-Scale Production
Morgan & Claypool (October 26,2020) | English | 9781681739663
Agile From First Principles
BCS, The Chartered Institute for IT (May 19, 2022) | English | 9781780175799
Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL and Python, Third Edition
CRC ; 3rd edition (1 Aug. 2014) | English | 9781466570375