Iconkn_​example_​db_​h2_​large_​files_​split 

H2 database split into 1 GB chunks in order to store very large data

Icon01_​Fraud_​Detection_​Integrated_​Deployment 

This workflow replicates the exercises of session 2, combining training and deployment using Integrated deployment. The purple boxes contain deployment […]

Iconkn_​example_​db_​h2_​large_​files_​split 

H2 database split into 1 GB chunks in order to store very large data

Icon01_​Fraud_​Detection_​Integrated_​Deployment 

Keras Autoencoder for Fraud Detection - Integrated Deployment This workflow replicates the exercises of session 2, combining training and deployment using […]

Icon01_​Fraud_​Detection_​Integrated_​Deployment 

This workflow replicates the exercises of session 2, combining training and deployment using Integrated deployment. The purple boxes contain deployment […]

Iconkn_​forum_​36064_​db_​h2_​use_​uuid_​unique_​identifier 

Example how to use H2 database with a uuid unique identifier

Icon03 Training an LSTM Model 

This workflow shows a hands-on exercise in the L4-DL Introduction to Deep Learning self-paced course

IconJKISeasor2-17_​tomljh_​ver2 

JKISeasor2-17_tomljh_ver2 Challenge 17: Better Workflows with Error Handling and Logging

Icon03 Training an LSTM Model - Solution 

This workflow shows a solution to a hands-on exercise in the L4-DL Introduction to Deep Learning self-paced course

Icon03 Training an LSTM Model - Solution 

This workflow shows a solution to a hands-on exercise in the L4-DL Introduction to Deep Learning self-paced course