How do you select an inital parameter vaiue or the irst treration of gradient descent?

Set it to one

It should always be $0$

Randomly between $0$ and $1$

Randomly

Clear selection

In Numpy, you cannot perform this operation A $+$ B Given that A$\text{'}$s shape is $(2,3)$ and B$\text{'}$s shape is $(1,3)$

True

False

Clear selection

What is the primary goal of hyperparameter tuning in machine learning?

Minimizing the number of features

Maximizing model interpretability

Finding the optimal values for parameters that are not learned during training

Reducing the size of the training dataset

Clear selection

In logistic regression, what is the output variable type?

Continuous

Categorical

Binary

Both a and b

Clear selection

What is the primary purpose of activation functions in neural networks?

Control the learning rate

Introduce non$-$linearity to the model

Determine the number of layers

Define the number of neurons in a layer

Clear selection