GitHub, the Microsoft-owned software hosting site, said on Tuesday it will reduce prices on one of its most popular paid tiers and also moving a key feature of all its paid plans into its existing free tier. Now, GitHub says the “Teams” subscription, which previously cost $9 per user a month, will now be $4 per user a month. All existing paid customers on the plan will move to the new pricing model starting today.
And for those who want to use GitHub for private development but didn’t want to pay the per-user price, the company now says you’ll be able to sign up for the free version of GitHub and access that feature for the first time. That will now grant you access to unlimited collaborators on private repositories, something that used to require you pay for one of GitHub’s subscriptions.
Prior to this change, the free model of GitHub gave you unlimited repositories so long as they were public — effectively ensuring the platform’s free plan couldn’t be used by a startup or a small company — while the $7 per month Pro plan added unlimited collaborators and a few other perks while maintaining the public requirement. Beyond the Free, Pro, and Team tiers, GitHub sells an Enterprise and an even more feature-rich GitHub One plan with special pricing (typically negotiated by sales teams) for large companies and organizations.
“We’re happy to announce that we’re making private repositories with unlimited collaborators available to all GitHub accounts. All of the core GitHub features are now free for everyone,” the company said in its announcement. “ Until now, if your organization wanted to use GitHub for private development, you had to subscribe to one of our paid plans. But every developer on earth should have access to GitHub. Price shouldn’t be a barrier.”
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Python神经网络编程
[英]塔里克·拉希德(Tariq Rashid) / 林赐 / 人民邮电出版社 / 2018-4 / 69.00元
神经网络是一种模拟人脑的神经网络,以期能够实现类人工智能的机器学习 技术。 本书揭示神经网络背后的概念,并介绍如何通过Python实现神经网络。全书 分为3章和两个附录。第1章介绍了神经网络中所用到的数学思想。第2章介绍使 用Python实现神经网络,识别手写数字,并测试神经网络的性能。第3章带领读 者进一步了解简单的神经网络,观察已受训练的神经网络内部,尝试进一步改......一起来看看 《Python神经网络编程》 这本书的介绍吧!