A Practical Approach to Timeseries Forecasting Using Python - LSTM Implementation on Dataset

Interactive Video
•
Computers
•
10th - 12th Grade
•
Hard
Quizizz Content
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in developing an LSTM model?
Adding a dense layer
Creating a sequential model
Compiling the model
Setting the optimizer
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of a dropout layer in a neural network?
To increase the number of neurons
To prevent overfitting by dropping neurons
To enhance the activation function
To adjust the learning rate
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which optimizer is used in the model compilation?
SGD
Adam
RMSprop
Adagrad
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the loss function used in the model?
Cross-entropy
Huber loss
Mean Squared Error (MSE)
Hinge loss
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How many epochs are set for training the model?
100
62
50
30
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the batch size used during model training?
64
32
8
16
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What percentage of data is typically used for validation?
30-40%
20-30%
10-20%
5-10%
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