C++基于无锁线程concurrentqueue实现后台保存图片，资源包含saveImage实现源码和concurrentqueue源码
2020-12-28 15:27:10
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并发程序的验证方法和基础.对于编写并行程序、并行程序测试、程序正确性验证等方面的同学值得一看
2020-01-27 03:07:52
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google-chrome-stable_current_i386.deb
2020-01-21 03:05:23
40.24MB
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Concurrent Programming in JavaTM: Design Principles and Patterns, Second
Edition
By Doug Lea
In Concurrent Programming in Java, Second Edition, you will find thoroughly
updated coverage of the Java 2 platform and new or expanded coverage of:
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Memory model
Cancellation
Portable parallel programming
Utility classes for concurrency control
The Java platform provides a broad and powerful set of APIs, tools, and technologies.
One of its most powerful capabilities is the built-in support for threads. This makes
concurrent programming an attractive yet challenging option for programmers using
the Java programming language.
This book shows readers how to use the Java platform's threading model more
precisely by helping them to understand the patterns and tradeoffs associated with
concurrent programming.
You will learn how to initiate, control, and coordinate concurrent activities using the
class java.lang.Thread, the keywords synchronized and volatile, and the methods wait,
notify, and notifyAll. In addition, you will find detailed coverage of all aspects of
concurrent programming, including such topics as confinement and synchronization,
deadlocks and conflicts, state-dependent action control, asynchronous message passing
and control flow, coordinated interaction, and structuring web-based and
computational services.
The book targets intermediate to advanced programmers interested in mastering the
complexities of concurrent programming. Taking a design pattern approach, the book
offers standard design techniques for creating and implementing components that
solve common concurrent programming challenges. The numerous code examples
throughout help clarify the subtleties of the concurrent programming concepts
discussed.
2020-01-10 03:04:49
2.42MB
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google-chrome-stable_current_i386.deb
2015最新版 Version 42.0.2311.152 (32-bit)
2019-12-21 21:03:55
43.77MB
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GRU（Gated Recurrent Unit）神经网络是LSTM 的一个变体，GRU 在保持了LSTM 的效果同时又使结构更加简单，是一种非常流行RNN 神经网络，它只有两个门了，分别为更新门t z 和重置门tr 。更新门控制前一时刻的状态信息被带入到当前状态中的程度，值越大前一时刻的状态信息带入越多。重置门控制忽略前一时刻的状态信息的程度，值越小说明忽略得越多。
2019-12-21 20:49:41
208KB
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recurrent neural network without a phd.pdf
出处：https://github.com/martin-gorner/tensorflow-rnn-shakespeare
2019-12-21 20:41:09
5.29MB
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