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Today Xiaobian to share with you how to use Python to achieve the relevant knowledge points of learning writing, detailed content, clear logic, I believe most people still know too much about this knowledge, so share this article for your reference, I hope you have some gains after reading this article, let's learn about it together.

development tools

Python version: 3.6.4

Related modules:

tensorflow-gpu module;

numpy module;

And some Python modules.

Where TensorFlow-GPU versions are:

1.6.0

environment construction

Install Python and add it to the environment variables, pip install the relevant modules you need.

Here we use the Char RNN model for training.

That is, the input and output of the special case in Seq2Seq model are equal in length.

It is similar to the following picture (source network):

For details of the implementation process, see the source code in the relevant documents.

use the demo

Run the Char_RNN.py file in cmd window and enter the relevant information according to the prompt.

Please adjust the parameters related to training in config.py file:

The data path used for training and the warm-up data used to generate new text are adjusted in the Char_RNN.py file:

The final training results are shown below:

The above is all the content of this article "How to learn to write with Python". Thank you for reading! I believe everyone has a great harvest after reading this article. Xiaobian will update different knowledge for everyone every day. If you want to learn more knowledge, please pay attention to the industry information channel.

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