在这篇文章中，我将描述创建报价生成器的过程。
TL;DR
用于训练和文本生成–使用库 textgenrnn，要过滤需要使用拼写检查的短语 hunspell 及其 C/python 库。在 Colaboratory，您可以开始生成文本。大约 90% 的文本将被完全看不懂，但是剩下的 10% 会包含一点意思，手动修改这些短语看起来会很不错。
最简单的方法是在 Colaboratory 中启动现成的神经网络：
https://colab.research.google.com/drive/1-wbZMmxvsm3SoclJv11villo9VbUesbc（在新选项卡中打开）”>https://colab.research.google.com/drive/1-wbZMmxvsm3SoclJv11villo9VbUesbc
源代码
https://gitlab.com/demensdeum/MachineLearning/tree/master/3quotesGenerator
来源
https://karpathy.github.io/2015/05/21/rnn-effectiveness/https://medium.com/deep-learning-turkey/google-colab-free-gpu-tutorial-e113627b9f5dhttps://minimaxir.com/2018/05/text-neural-networks/
https://github.com/wooorm/dictionaries (opens in a new tab)” href=”https://minimaxir.com/2018/05/text-neural-networks/” target=”_blank”>https://minimaxir.com/2018/05/text-neural-networks/
https://karpathy.github.io/2015/05/21/rnn-effectiveness/
https://medium.com/deep-learning-turkey/google-colab-free-gpu-tutorial-e113627b9f5d
https://karpathy.github.io/2015/05/21/rnn-effectiveness/ (opens in a new tab)” href=”https://karpathy.github.io/2015/05/21/rnn-effectiveness/” target=”_blank”>https://karpathy.github.io/2015/05/21/rnn-effectiveness/
https://medium.com/deep-learning-turkey/google-colab-free-gpu-tutorial-e113627b9f5d
https://karpathy.github.io/2015/05/21/rnn-effectiveness/https://medium.com/deep-learning-turkey/google-colab-free-gpu-tutorial-e113627b9f5dhttps://github.com/wooorm/dictionaries
” rel=”noopener” target=”_blank”>https://github.com/wooorm/dictionaries (opens in a new tab)”>https://github.com/wooorm/dictionaries
