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NEW QUESTION 38
What distinguishes deep learning (DL) from other forms of machine learning (ML)?
- A. Models based on neural networks with interconnected layers of nodes, including multiple hidden layers
- B. Models defined with Apache Spark rather than MapReduce
- C. Models that are trained through unsupervised, rather than supervised, training
- D. Models trained through multiple training processes implemented by different team members
Answer: C
NEW QUESTION 39
What is the role of a hidden layer in an artificial neural network (ANN)?
- A. It receives and weighs inputs from the preceding layer and produces outputs for the next layer.
- B. It is responsible for making the final decision about how to label a record, based on weighted input from preceding layers.
- C. It is responsible for passively reformatting data for use in the ANN.
- D. It does not play a role during the forward pass of data through the ANN, but it helps to optimize during the backward pass.
Answer: D
NEW QUESTION 40
ML engineers are defining a convolutional neural network (CNN) model bur they are not sure how many filters to use in each convolutional layer. What can help them address this concern?
- A. Using a variable learning late
- B. Training the model on multiple epochs
- C. Distributing the training across multiple CPUs
- D. Using hyperparameter optimization (HPO)
Answer: B
NEW QUESTION 41
Your cluster uses Amazon S3 to store checkpoints. You ran an experiment on an HPE Machine Learning Development Environment cluster, you want to find the location tor the best checkpoint created during the experiment. What can you do?
- A. In the experiment config that you used, look for the “bucket” field under “hyperparameters.” This is the UUID for checkpoints.
- B. In the Web Ul, go to the Task page and click the checkpoint task that has the experiment ID.
- C. Use the “det experiment download -top-n I” command, referencing the experiment ID.
- D. Look for a “determined-checkpoint/” bucket within Amazon S3, referencing your experiment ID.
Answer: C
NEW QUESTION 42
You are helping a customer start to implement hyper parameter optimization (HPO) with HPE Machine learning Development Environment. An ML engineer is putting together an experiment config file with the desired Adaptive A5HA settings. The engineer asks you questions, such as how many trials will be trained on the max length and what the min length for all trials will be.
What should you explain?
- A. The engineer should run a preliminary experiment with one tenth the desired number of max trials, assess the results, and then run the full experiment.
- B. The engineer should access the HPE Machine Learning Development online calculator and input the mode, max_trials, max_length, divisor, and max_runs.
- C. The engineer should upload the experiment config to the HPE Machine Learning Development Environment WebUl and view the graph of the experiment plan.
- D. The engineer should run the “det preview-search” command, referencing the experiment config.
Answer: A
NEW QUESTION 43
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