You need to design a customized deep neural network in Keras that will predict customer purchases based on their purchase history. You want to explore model performance using multiple model architectures, store training data, and be able to compare the evaluation metrics in the same dashboard. What should you do?
A) Create multiple models using AutoML Tables.
B) Automate multiple training runs using Cloud Composer.
C) Run multiple training jobs on AI Platform with similar job names.
D) Create an experiment in Kubeflow Pipelines to organize multiple runs.
Correct Answer:
Verified
Q13: You are developing a Kubeflow pipeline on
Q14: You have a demand forecasting pipeline in
Q15: You need to train a computer vision
Q16: You are developing models to classify customer
Q17: Your team needs to build a model
Q19: You are responsible for building a unified
Q20: You built and manage a production system
Q21: You are training a TensorFlow model on
Q22: You started working on a classification problem
Q23: You have a functioning end-to-end ML pipeline
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