Identification of true and false news

In the project of false news detection, model which can judge whether the news is fake was built. By using this model, the information safety degree of the society will be strongly improved. To start with the work, a model was created by using the Tensorflow. Then the loss function and optimizer were used to train the model. Finally, a plot of accuracy and loss time was created in order to evaluate the model effectively. After these steps down, a model which can test whether a piece of news is fake will be created. From the process of exploring machine learning, the ability of using Excel to evaluate data was improved, and the developing intelligent recognition with python was achieved.