机读格式显示(MARC)

• 000 01282cam a2200349 i 4500

• 001 0000339867

• 003 CAL

• 005 20190716095700.0

• 008 180529r20182017cc a 001 0 eng d

• 017 __ |a CN |b 10-2017-428

• 020 __ |a 9787564175160 |c CNY99.00

• 040 __ |a DMU |b eng |c DMU |e rda |d JLU

• 090 __ |a TP181/E10

• 093 __ |a TP181 |2 5

• 099 __ |a CAL 022018045023

• 100 1_ |a Patterson, Josh. |e author.

• 245 10 |a Deep learning = |b 深度学习 / |c Josh Patterson, Adam Gibson著.

• 246 31 |a 深度学习

• 264 _1 |a 南京 : |b 东南大学出版社, |c 2018.

• 300 __ |a xxi, 507 pages : |b illustrations ; |c 24 cm

• 336 __ |a text |2 rdacontent

• 337 __ |a unmediated |2 rdamedia

• 338 __ |a volume |2 rdacarrier

• 500 __ |a Includes index.

• 520 __ |a 本书在引入开源Deeplearning4j(DL4J)库用于开发产品级工作流之前，作者Josh Patterson和Adam Gibson介绍了深度学习——调优、并行化、向量化及建立管道等任何库所需的基础知识。通过真实的案例，你将学会在Spark和Hadoop上用DL4J训练深度网络架构并运行深度学习工作流的方法.

• 534 __ |p Reprint. Originally published : |c Bonton : O'Reilly, c2017.

• 650 _0 |a Machine learning.

• 650 _0 |a Neural networks |x Computer science.

• 650 _0 |a Open source software.

• 700 1_ |a Gibson, Adam, |e author.

• 920 __ |a 261060 |z 1

• 998 __ |a DMU