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License: Apache License 2.0
用PaddlePaddle和Tensorflow实现常用的深度学习算法
License: Apache License 2.0
Hello! I've found a performance issue in cifar10_eval.py: with tf.Session() as sess
(here) is defined in the function eval_once
(here) which is repeatedly called in the loop while True
(here).
tf.Session
being defined repeatedly could lead to incremental overhead. If you define tf.Session
out of the loop and pass tf.Session
as a parameter to the loop, your program would be much more efficient. Here is the Stack Overflow post to support it.
Looking forward to your reply. Btw, I am very glad to create a PR to fix it if you are too busy.
刚接触机器学习
Python 2.7.14 (default, Nov 1 2017, 10:27:43)
[GCC 4.2.1 Compatible Apple LLVM 9.0.0 (clang-900.0.38)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
import paddle
import paddle.v2 as paddle
paddlepaddle的安装导入都成功了。
但是一旦运行相关代码 就提示(初始化的时候就崩了)
Fatal Python error: PyThreadState_Get: no current thread
Abort trap: 6
能指点个方向吗。
机子是mac
系统自带的python是2.7.10
(自带的install paddle安不上去。百度说要关SIP我就没考虑了。。)
装的2.7.14
非常感谢!
哈哈哈,paddlepaddle黄埔第一期学院报道
小姐姐,你好
原始的Alexnet是用来处理Imagenet的数据,那个数据尺寸和cifar-10的尺寸不一样,请问你是如何处理的?
首先,我是新手,对于CNN完全不了解,对Python也只是知道一点点。
我以为第一篇手写数字识别很.....通俗,但是您这除了paddlepaddle的安装外,那堆源码让我一脸懵逼.......不知所云.......就希望能不能再基础点儿....
求领进门
竹子占位!
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