8 4 Deep Learning with Python 费良宏 “Deep Learning library for Theano and TensorFlow” Caffe (Berkeley),卷积神经网络,贾扬清 TensorFlow (Google) Spark MLLib 深度学习中的开发框架框架 THEANO 学院派血统,Montreal University 非常灵活,非常复杂 通过底层借口可以做到大量的定制 衍生了大量的丰富的项目Keras0 码力 | 49 页 | 9.06 MB | 1 年前3
07 FPGA 助力Python加速计算 陈志勇软件仿真和硬件仿真 7 Ø 近期很热门的话题 Ø 目的:提高算法计算效率,缩短算法开发时间和验证时间 Ø 加速框架: Ø 分布式计算:多节点计算 Ø 并行计算:多处理器、多线程计算 Ø 分布式计算引擎:Spark Ø 并行计算语言(函数式编程):Scala Ø 加速方法: Ø 算法的优化 Ø 算法的并行化 Ø CPU: 多核 CPU Ø GPU: 多核处理器 Ø 硬件仿真:算法计算在FPGA里实现,输入和输出在0 码力 | 34 页 | 6.89 MB | 1 年前3
2_FPGA助力Python加速计算_陈志勇软件仿真和硬件仿真 7 Ø 近期很热门的话题 Ø 目的:提高算法计算效率,缩短算法开发时间和验证时间 Ø 加速框架: Ø 分布式计算:多节点计算 Ø 并行计算:多处理器、多线程计算 Ø 分布式计算引擎:Spark Ø 并行计算语言(函数式编程):Scala Ø 加速方法: Ø 算法的优化 Ø 算法的并行化 Ø CPU: 多核 CPU Ø GPU: 多核处理器 Ø 硬件仿真:算法计算在FPGA里实现,输入和输出在0 码力 | 33 页 | 8.99 MB | 1 年前3
FPGA助力Python加速计算 陈志勇 软件仿真和硬件仿真 7 ➢ 近期很热门的话题 ➢ 目的:提高算法计算效率,缩短算法开发时间和验证时间 ➢ 加速框架: ➢ 分布式计算:多节点计算 ➢ 并行计算:多处理器、多线程计算 ➢ 分布式计算引擎:Spark ➢ 并行计算语言(函数式编程):Scala ➢ 加速方法: ➢ 算法的优化 ➢ 算法的并行化 ➢ CPU: 多核 CPU ➢ GPU: 多核处理器 ➢ 硬件仿真:算法计算在FPGA里实现,输入和输出在0 码力 | 34 页 | 4.19 MB | 1 年前3
Tornado 6.0 Documentation
google.com/group/python-tornado- announce]. Tornado is available under the Apache License, Version 2.0 [http://www.apache.org/licenses/LICENSE-2.0.html]. This web site and all documentation is licensed for heavy traffic it will be more efficient to use a dedicated static file server (such as nginx or Apache). We support the HTTP Accept-Ranges mechanism to return partial content (because some browsers require under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-20 码力 | 869 页 | 692.83 KB | 1 年前3
Tornado 6.1 Documentation
com/forum/#!forum/python- tornado-announce]. Tornado is available under the Apache License, Version 2.0 [http://www.apache.org/licenses/LICENSE-2.0.html]. This web site and all documentation is licensed for heavy traffic it will be more efficient to use a dedicated static file server (such as nginx or Apache). We support the HTTP Accept-Ranges mechanism to return partial content (because some browsers require under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-20 码力 | 931 页 | 708.03 KB | 1 年前3
Flask Documentation (1.1.x)files, set the X-Sendfile header instead of serving the data with Flask. Some web servers, such as Apache, recognize this and serve the data more efficiently. This only makes sense when using such a server remote servers. You can of course use your own favourite server there, but for this example we chose Apache + mod_wsgi because it’s very easy to setup and has a simple way to reload applications without root the server and the configuration file for the application (eg: application.cfg) 3. Create a new Apache config for yourapplication and activate it. Make sure to activate watching for changes of the .wsgi0 码力 | 428 页 | 895.98 KB | 1 年前3
waitress Documentation v1.4.0org/modules/translogger.html] middleware. TransLogger produces logs in the Apache Combined Log Format [https://httpd.apache.org/docs/current/logs.html#combined]. Logging to the Console Using Python FileHandler logging handler can be used alongside TransLogger to create an access.log file similar to Apache's. Like any standard middleware with a Paste entry point, TransLogger can be configured to wrap you might add the following lines in a location section. proxy_set_header Host $host; The Apache directive named ProxyPreserveHost does something similar when used as a reverse proxy. Unfortunately0 码力 | 48 页 | 54.34 KB | 1 年前3
waitress Documentation v2.1.1org/modules/translogger.html] middleware. TransLogger produces logs in the Apache Combined Log Format [https://httpd.apache.org/docs/current/logs.html#combined]. Logging to the Console Using Python FileHandler logging handler can be used alongside TransLogger to create an access.log file similar to Apache's. Like any standard middleware with a Paste entry point, TransLogger can be configured to wrap you might add the following lines in a location section. proxy_set_header Host $host; The Apache directive named ProxyPreserveHost does something similar when used as a reverse proxy. Unfortunately0 码力 | 53 页 | 58.27 KB | 1 年前3
waitress Documentation v2.1.0org/modules/translogger.html] middleware. TransLogger produces logs in the Apache Combined Log Format [https://httpd.apache.org/docs/current/logs.html#combined]. Logging to the Console Using Python FileHandler logging handler can be used alongside TransLogger to create an access.log file similar to Apache's. Like any standard middleware with a Paste entry point, TransLogger can be configured to wrap you might add the following lines in a location section. proxy_set_header Host $host; The Apache directive named ProxyPreserveHost does something similar when used as a reverse proxy. Unfortunately0 码力 | 52 页 | 57.95 KB | 1 年前3
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