Learn how to create a predictive text model using TensorFlow in Python. The tutorial guides you through the steps of setting up the project, preparing the data set, training the model, writing the text prediction function, creating an API, and deploying to the cloud.
•13m read time• From thenewstack.io
Table of contents
Step 1 – Set up the ProjectStep 2 – Prepare the Data SetStep 3 – Train the ModelStep 4 – Write the Text Prediction FunctionStep 5 – Create the APIStep 6 – Deploy to the CloudSort: