A series about creating a model using Python and Tensorflow and then importing the model and making predictions using Javascript in a Vue.js application, above is the vid and below you will find some useful notes. Here, in part 3 of this series, I will show what is and how does one hot encoding works. In the first post, called House price prediction 1/4: Using Keras/Tensorflow and python , I talked about how to create a model in python, pre-process a dataset I've already created, train a model, post-process, predict, and finally about creating different files for sharing some information about the data for use on the second part. Then in part 2, called House price prediction 2/4: Using Tensorflow.js, Vue.js and Javascript , I took the model, the data for pre and post processing and after loading everything we were finally able to predict
It would be good to ask for the mailing in order to be able to send the different news items
ResponderEliminar