
Neural Networks with Keras Basics
Authored by vinod mogadala
English
University
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15 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What command is used to install TensorFlow?
pip install tensorflow
tensorflow install
install tensorflow
pip install tf
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How do you import Keras in a Python script?
from keras.models import Sequential
import keras as keras
from keras import Sequential
import keras.models.Sequential
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What function is used to create a sequential model in Keras?
createSequentialModel()
KerasSequential()
ModelSequential()
Sequential()
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which method is used to compile a Keras model?
fit
evaluate
compile
train
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of the fit() method in Keras?
To evaluate a model's performance.
To save the model architecture.
To preprocess the input data.
To train a model on a dataset.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you load a dataset using TensorFlow?
Use the `tf.load` function to import datasets.
Manually read files without any preprocessing.
Use the `tf.data` API to create and preprocess datasets.
Load datasets using NumPy only.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of the validation_split parameter in model training?
The validation_split parameter determines the learning rate of the model.
The validation_split parameter is used to increase the batch size during training.
The validation_split parameter specifies the number of epochs for training.
The validation_split parameter helps in setting aside a portion of training data for validation during model training.
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