# tz28/deep-learning

<https://repo.masters-masters.com/en/repos/tz28/deep-learning>

[Home](https://repo.masters-masters.com/en) › [tz28](https://repo.masters-masters.com/en/owners/tz28) › [deep-learning](https://repo.masters-masters.com/en/repos/tz28/deep-learning)

tz28/deep-learning has 223 stars on GitHub. Its RepoMasters card: Prototype tier. personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random…

| Field | Value |
| --- | --- |
| Owner | [tz28](https://repo.masters-masters.com/en/owners/tz28) |
| Stars | 223 |
| Forks | 106 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [tz28/deep-learning](https://github.com/tz28/deep-learning) |

## Repository

personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout， 三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.