今天继续学习keras，今天看的是 Introduction to Keras for Engineers 与 Text classification from scratch 两部分。
我发现从吴恩达的教程开始学一些基本理论，无聊学不下去的时候，就直接开始看框架的教程，不懂的名词直接去查，配合起来更加的适合我。
我喜欢实战，喜欢丢到水里去蹦跶，实践对我而言更合适一些。
今天遇到的一些问答，找了一些比较好的资料保存。
https://blog.csdn.net/qq_36926037/article/details/107959807
https://keras.io/getting_started/intro_to_keras_for_engineers/
https://keras.io/examples/nlp/text_classification_from_scratch/
什么是卷积层/池化层？
https://www.zhihu.com/question/49376084/answer/712089980
为什么使用全局平均池化层？
https://zhuanlan.zhihu.com/p/46235425
全连接层的作用？
https://www.zhihu.com/question/41037974/answer/150522307
tensorflow中的dense就是全连接层
https://www.zhihu.com/question/335678541
为什么会出现多层全连接层？
https://www.quora.com/What-is-the-purpose-of-using-more-than-1-fully-connected-layer-in-a-convolutional-neural-network
什么是超参数？
https://www.cnblogs.com/qamra/p/8721561.html
https://blog.csdn.net/u011501388/article/details/78447839
深度学习中的epochs，batch_size，iterations详解
https://www.zhihu.com/search?type=content&q=batch%20%E4%B8%8E%20epochs
re.escape
https://www.cnblogs.com/xiaojinniu425/p/7615068.html
string.punctuation
https://blog.csdn.net/kongsuhongbaby/article/details/83181768
embedding是什么？
https://www.zhihu.com/search?type=content&q=embedding
dropout是什么？
https://zhuanlan.zhihu.com/p/38200980
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