DL-KERAS-SEQUENTIAL

What is Keras?

• A programming language

• A type of neural network

• A dataA database management system

• A deep learning framework for Python

Which backend engines does Keras support?

• TensorFlow

• Theano

• CNTK

• All of the above

What is the function of keras.layers.Dense()?

• Adds a convolutional layer

• Adds a fully connected (dense) layer

• Adds a dropout layer

• NumPyCreates a dataset

What is the Keras Sequential API?

• A method to create complex networks

• A simple way to build models layer-by-layer

• An API for data augmentation

• A backend for TensorFlow

What is the input shape for a Dense layer with 10 features?

• (10,)

• (10, 1)

• (1, 10)

• (None, 10)

What is the purpose of the model.fit() function?

• To evaluate the model

• To predict new values

• To train the model using input data

• To preprocess the dataset

What parameter in model.fit() specifies the number of times the dataset is used?

• batch_size

• steps_per_epoch

• epochs

• validation_split

What is the function of model.summary()?

• Plots the accuracy graph

• Displays model architecture and parameters

• Trains the model

• Saves the model

What does the batch_size parameter control in model training?

• The total number of epochs

• The number of samples processed before updating weights

• The number of neurons in each layer

• The number of layers in a neural network

In which scenario is a Sequential model not the best choice?

• A simple feedforward neural network

• A model with a single input and single output

• A model with shared layers or multiple inputs

• A model with only Dense layers