一年级下数学-人民币换算最全整理
2022-04-09 14:04:59 2.15MB 一年级数学
tensorflow安装工具, tensorboard-1.15.0-py3-none-any.whl
2022-03-22 17:04:35 3.59MB tensorboard-1.15
1
Deep learning is the most interesting and powerful machine learning technique right now. Top deep learning libraries are available on the Python ecosystem like Theano and TensorFlow. Tap into their power in a few lines of code using Keras, the best-of-breed applied deep learning library. In this mega Ebook is written in the friendly Machine Learning Mastery style that you’re used to, learn exactly how to get started and apply deep learning to your own machine learning projects. After purchasing you will get: 256 Page PDF Ebook. 66 Python Recipes. 18 Step-by-Step Lessons. 9 End-to-End Projects. 参看 https://machinelearningmastery.com/deep-learning-with-python/ 价值 $47 USD
2022-02-15 22:16:22 6.93MB Keras Tensorflow Deep Learning
1
资源来自pypi官网。 资源全名:irspack-0.1.15-cp36-cp36m-win_amd64.whl
2022-01-06 12:04:44 501KB Python库
jacob相关jar包和动态库,jacob1.15,jacob1.16,jacob1.17和jacob1.9
2021-12-14 18:49:05 705KB jacob1.15 jacob1.16 jacob1.17 jacob1.9
1
官方离线安装包,亲测可用。使用rpm -ivh [rpm完整包名] 进行安装
2021-12-12 21:01:40 903KB rpm
官方离线安装包,亲测可用。使用rpm -ivh [rpm完整包名] 进行安装
2021-12-12 21:01:39 446KB rpm
windows下libiconv-1.15的最新编译版本,带头文件,dll和lib文件;
2021-12-06 21:09:28 822KB libiconv
1
mailman-2.1.15-30.el7.x86_64.rpm
2021-12-02 10:01:24 5.41MB rpm
NAME SYNOPSIS OPTIONS DESCRIPTION Filesystem issues HFS+ on OS X / Darwin JFS NFS4 FAT/VFAT and NTFS How to undo double UTF-8 (or other) encoded filenames How to repair Samba files Netatalk interoperability issues SEE ALSO BUGS AUTHOR NAME convmv - converts filenames from one encoding to another SYNOPSIS convmv [options] FILE(S) ... DIRECTORY(S) OPTIONS -f ENCODING specify the current encoding of the filename(s) from which should be converted -t ENCODING specify the encoding to which the filename(s) should be converted -i interactive mode (ask y/n for each action) -r recursively go through directories --nfc target files will be normalization form C for UTF-8 (Linux etc.) --nfd target files will be normalization form D for UTF-8 (OS X etc.). --qfrom , --qto be more quiet about the "from" or "to" of a rename (if it screws up your terminal e.g.). This will in fact do nothing else than replace any non-ASCII character (bytewise) with ? and any control character with * on printout, this does not affect rename operation itself. --exec command execute the given command. You have to quote the command and #1 will be substituted by the old, #2 by the new filename. Using this option link targets will stay untouched. Example: convmv -f latin1 -t utf-8 -r --exec "echo #1 should be renamed to #2" path/to/files --list list all available encodings. To get support for more Chinese or Japanese encodings install the Perl HanExtra or JIS2K Encode packages. --lowmem keep memory footprint low by not creating a hash of all files. This disables checking if symlink targets are in subtree. Symlink target pointers will be converted regardlessly. If you convert multiple hundredthousands or millions of files the memory usage of convmv might grow quite high. This option would help you out in that case. --nosmart by default convmv will detect if a filename is already UTF8 encoded and will skip this file if conversion from some charset to UTF8 should be performed. --nosmart
2021-11-26 11:21:31 27KB convmv-1.15 convmv
1