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国内从 Docker Hub 拉取镜像有时会遇到困难,此时可以配置镜像加速器。Docker 官方和国内很多云服务商都提供了国内加速器服务。
Dockerized 实践 https://github.com/y0ngb1n/dockerized
Ubuntu 16.04+、Debian 8+、CentOS 7+
>>> import pytz | |
>>> | |
>>> for tz in pytz.all_timezones: | |
... print tz | |
... | |
... | |
Africa/Abidjan | |
Africa/Accra | |
Africa/Addis_Ababa | |
Africa/Algiers |
CloudFlare is an awesome reverse cache proxy and CDN that provides DNS, free HTTPS (TLS) support, best-in-class performance settings (gzip, SDCH, HTTP/2, sane Cache-Control
and E-Tag
headers, etc.), minification, etc.
NOTE: This is a question I found on StackOverflow which I’ve archived here, because the answer is so effing phenomenal.
If you are not into long explanations, see [Paolo Bergantino’s answer][2].
# -*- coding: utf-8 -*- | |
""" rwlock.py | |
A class to implement read-write locks on top of the standard threading | |
library. | |
This is implemented with two mutexes (threading.Lock instances) as per this | |
wikipedia pseudocode: | |
https://en.wikipedia.org/wiki/Readers%E2%80%93writer_lock#Using_two_mutexes |
"""Script to illustrate usage of tf.estimator.Estimator in TF v1.3""" | |
import tensorflow as tf | |
from tensorflow.examples.tutorials.mnist import input_data as mnist_data | |
from tensorflow.contrib import slim | |
from tensorflow.contrib.learn import ModeKeys | |
from tensorflow.contrib.learn import learn_runner | |
# Show debugging output |
This is a list of hacks gathered primarily from prior experiences as well as online sources (most notably Stanford's CS231n course notes) on how to troubleshoot the performance of a convolutional neural network . We will focus mainly on supervised learning using deep neural networks. While this guide assumes the user is coding in Python3.6 using tensorflow (TF), it can still be helpful as a language agnostic guide.
Suppose we are given a convolutional neural network to train and evaluate and assume the evaluation results are worse than expected. The following are steps to troubleshoot and potentially improve performance. The first section corresponds to must-do's and generally good practices before you start troubleshooting. Every subsequent section header corresponds to a problem and the section is devoted to solving it. The sections are ordered to reflect "more common" issues first and under each header the "most-eas