tf

Installation and GPU setup:

https://medium.com/@shravan007.c/tensorflow-2-1-running-on-gpu-ubuntu-18-04-76b0c8b0a25d

Tensorflow Feature Columns and Dataset API:

https://medium.com/@shravan007.c/classification-using-tensorflow-with-feature-columns-and-dataset-pipeline-6ab67600130a

Tensorflow Estimator:

https://medium.com/@shravan007.c/classification-using-tensorflow-estimator-942b21dad3ca

Tensorflow Hub:

https://medium.com/@shravan007.c/transfer-learning-with-tensorflow-hub-29a4bbff8879

Neural Machine Translation:

https://medium.com/@shravan007.c/neural-machine-translation-with-attention-and-tensorflow-2-0-6c6d16c829f4

Basic Steps:

• Load data and split into train, test and validation data
• Analyse and preprocess the data if required
• Convert DataFrame or the numpy data into tf.data.Dataset
• Define Feature Columns for all the attributes
• Create a Model
• Train
• Save Model
• Load Model
• Get new data, convert to tf.data.Dataset and feed to the model
• Get prediction