Icon02_​Fraud_​Detection_​Deployment_​Exercise 

Exercise of the L4-DL Deep Learning Specialization course. The goal of this exercise is to apply a trained autoencoder to new transactions, in order to […]

Icon02_​Fraud_​Detection_​Deployment_​Solution 

Keras Autoencoder for Fraud Detection - Deployment Exercise of the L4-DL Introduction to Deep Learning Course. The goal of this exercise is to apply a […]

IconSet value on lagged row multi-column-conditions with adjacent rows (b) 

Demonstration workflow to lag multiple columns to test adjacent rows and then apply rules based on the lagged columns

Icon02_​Fraud_​Detection_​Deployment_​Solution 

Exercise of the L4-DL Deep Learning Specialization course. The goal of this exercise is to apply a trained autoencoder to new transactions, in order to […]

Icon02_​Fraud_​Detection_​Deployment_​Exercise 

Keras Autoencoder for Fraud Detection - Deployment Exercise of the L4-DL Introduction to Deep Learning Course. The goal of this exercise is to apply a […]

Icon02_​Fraud_​Detection_​Deployment_​Solution 

Exercise of the L4-DL Deep Learning Specialization course. The goal of this exercise is to apply a trained autoencoder to new transactions, in order to […]

Icon02_​Fraud_​Detection_​Deployment_​Solution 

Exercise of the L4-DL Deep Learning Specialization course. The goal of this exercise is to apply a trained autoencoder to new transactions, in order to […]

Icon02_​Fraud_​Detection_​Deployment_​Exercise 

Exercise of the L4-DL Deep Learning Specialization course. The goal of this exercise is to apply a trained autoencoder to new transactions, in order to […]

Icon02 Preprocessing for FFNN Training 

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

Icon02 Preprocessing for FFNN Training 

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