Machine Learning Mastery 博客文章翻译：深度学习与 Keras

墨蓝 2022-02-19 23:06 166阅读 0赞

## 目录 ##

*  [Keras 中神经网络模型的 5 步生命周期][Keras _ 5]
 *  [在 Python 迷你课程中应用深度学习][Python]
 *  [Keras 深度学习库的二元分类教程][Keras]
 *  [如何用 Keras 构建多层感知器神经网络模型][Keras 1]
 *  [如何在 Keras 中检查深度学习模型][Keras 2]
 *  [10 个用于 Amazon Web Services 深度学习的命令行秘籍][10 _ Amazon Web Services]
 *  [机器学习卷积神经网络的速成课程][Link 1]
 *  [如何在 Python 中使用 Keras 进行深度学习的度量][Python _ Keras]
 *  [深度学习书籍][Link 2]
 *  [深度学习课程][Link 3]
 *  [你所知道的深度学习是一种谎言][Link 4]
 *  [如何设置 Amazon AWS EC2 GPU 以训练 Keras 深度学习模型（分步）][Amazon AWS EC2 GPU _ Keras]
 *  [神经网络中批量和迭代之间的区别是什么？][Link 5]
 *  [在 Keras 展示深度学习模型训练历史][Keras 3]
 *  [基于 Keras 的深度学习模型中的dropout正则化][Keras _dropout]
 *  [评估 Keras 中深度学习模型的表现][Keras 4]
 *  [如何评价深度学习模型的技巧][Link 6]
 *  [小批量梯度下降的简要介绍以及如何配置批量大小][Link 7]
 *  [在 Keras 中获得深度学习帮助的 9 种方法][Keras _ 9]
 *  [如何使用 Keras 在 Python 中网格搜索深度学习模型的超参数][Keras _ Python]
 *  [用 Keras 在 Python 中使用卷积神经网络进行手写数字识别][Keras _ Python 1]
 *  [如何用 Keras 进行预测][Keras 5]
 *  [用 Keras 进行深度学习的图像增强][Keras 6]
 *  [8 个深度学习的鼓舞人心的应用][8]
 *  [Python 深度学习库 Keras 简介][Python _ Keras 1]
 *  [Python 深度学习库 TensorFlow 简介][Python _ TensorFlow]
 *  [Python 深度学习库 Theano 简介][Python _ Theano]
 *  [如何使用 Keras 函数式 API 进行深度学习][Keras _ API]
 *  [Keras 深度学习库的多类分类教程][Keras 7]
 *  [多层感知器神经网络速成课程][Link 8]
 *  [基于卷积神经网络的 Keras 深度学习库中的目标识别][Keras 8]
 *  [流行的深度学习库][Link 9]
 *  [用深度学习预测电影评论的情感][Link 10]
 *  [Python 中的 Keras 深度学习库的回归教程][Python _ Keras 2]
 *  [如何使用 Keras 获得可重现的结果][Keras 9]
 *  [如何在 Linux 服务器上运行深度学习实验][Linux]
 *  [保存并加载您的 Keras 深度学习模型][Keras 10]
 *  [用 Keras 逐步开发 Python 中的第一个神经网络][Keras _ Python 2]
 *  [用 Keras 理解 Python 中的有状态 LSTM 循环神经网络][Keras _ Python _ LSTM]
 *  [在 Python 中使用 Keras 深度学习模型和 Scikit-Learn][Python _ Keras _ Scikit-Learn]
 *  [如何使用预训练的 VGG 模型对照片中的物体进行分类][VGG]
 *  [在 Python 和 Keras 中对深度学习模型使用学习率调度][Python _ Keras 3]
 *  [如何在 Keras 中可视化深度学习神经网络模型][Keras 11]
 *  [什么是深度学习？][Link 11]
 *  [何时使用 MLP，CNN 和 RNN 神经网络][MLP_CNN _ RNN]
 *  [为什么用随机权重初始化神经网络？][Link 12]

## 贡献指南 ##

> 请您勇敢地去翻译和改进翻译。虽然我们追求卓越，但我们并不要求您做到十全十美，因此请不要担心因为翻译上犯错——在大部分情况下，我们的服务器已经记录所有的翻译，因此您不必担心会因为您的失误遭到无法挽回的破坏。（改编自维基百科）

需要校对：

1.  术语
2.  语法
3.  格式

欢迎大家提交 PR，贡献者会写在每个文档的开头处。

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[Keras _ 5]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/5-step-life-cycle-neural-network-models-keras.md
[Python]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/applied-deep-learning-in-python-mini-course.md
[Keras]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/binary-classification-tutorial-with-the-keras-deep-learning-library.md
[Keras 1]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/build-multi-layer-perceptron-neural-network-models-keras.md
[Keras 2]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/check-point-deep-learning-models-keras.md
[10 _ Amazon Web Services]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/command-line-recipes-deep-learning-amazon-web-services.md
[Link 1]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/crash-course-convolutional-neural-networks.md
[Python _ Keras]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/custom-metrics-deep-learning-keras-python.md
[Link 2]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/deep-learning-books.md
[Link 3]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/deep-learning-courses.md
[Link 4]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/deep-learning-for-developers.md
[Amazon AWS EC2 GPU _ Keras]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/develop-evaluate-large-deep-learning-models-keras-amazon-web-services.md
[Link 5]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/difference-between-a-batch-and-an-epoch.md
[Keras 3]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/display-deep-learning-model-training-history-in-keras.md
[Keras _dropout]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/dropout-regularization-deep-learning-models-keras.md
[Keras 4]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/evaluate-performance-deep-learning-models-keras.md
[Link 6]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/evaluate-skill-deep-learning-models.md
[Link 7]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/gentle-introduction-mini-batch-gradient-descent-configure-batch-size.md
[Keras _ 9]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/get-help-with-keras.md
[Keras _ Python]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/grid-search-hyperparameters-deep-learning-models-python-keras.md
[Keras _ Python 1]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/handwritten-digit-recognition-using-convolutional-neural-networks-python-keras.md
[Keras 5]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/how-to-make-classification-and-regression-predictions-for-deep-learning-models-in-keras.md
[Keras 6]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/image-augmentation-deep-learning-keras.md
[8]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/inspirational-applications-deep-learning.md
[Python _ Keras 1]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/introduction-python-deep-learning-library-keras.md
[Python _ TensorFlow]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/introduction-python-deep-learning-library-tensorflow.md
[Python _ Theano]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/introduction-python-deep-learning-library-theano.md
[Keras _ API]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/keras-functional-api-deep-learning.md
[Keras 7]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/multi-class-classification-tutorial-keras-deep-learning-library.md
[Link 8]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/neural-networks-crash-course.md
[Keras 8]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/object-recognition-convolutional-neural-networks-keras-deep-learning-library.md
[Link 9]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/popular-deep-learning-libraries.md
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[Keras 10]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/save-load-keras-deep-learning-models.md
[Keras _ Python 2]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/tutorial-first-neural-network-python-keras.md
[Keras _ Python _ LSTM]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/understanding-stateful-lstm-recurrent-neural-networks-python-keras.md
[Python _ Keras _ Scikit-Learn]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/use-keras-deep-learning-models-scikit-learn-python.md
[VGG]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/use-pre-trained-vgg-model-classify-objects-photographs.md
[Python _ Keras 3]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/using-learning-rate-schedules-deep-learning-models-python-keras.md
[Keras 11]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/visualize-deep-learning-neural-network-model-keras.md
[Link 11]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/what-is-deep-learning.md
[MLP_CNN _ RNN]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/when-to-use-mlp-cnn-and-rnn-neural-networks.md
[Link 12]: https://github.com/apachecn/ml-mastery-zh/tree/master/docs/dl-keras/why-initialize-a-neural-network-with-random-weights.md
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