QuizMe

דסבת

Discuss, Learn and be Happy דיון בשאלות

Which activation function transforms the weighted output into the range [0,1]?

Why are saturated neurons problematic in neural networks using the sigmoid activation function?

Which activation function is known for being not zero-centered?

Why is non-linearity crucial in neural networks?

In comparison to Sigmoid, ReLU based functions train much faster, are more expressive than logistic function, prevent gradient vanishing.

What is the primary function of the layers in a deep neural network architecture?

What is the primary idea behind Convolutional Neural Networks (CNNs)?

In neural networks, the role of a cost function is to quantify how well the neural network model is performing on a given task

What is the primary purpose of backpropagation in neural network training?

How are the parameters updated in backpropagation?

דסבת

Discuss, Learn and be Happy דיון בשאלות

Which activation function transforms the weighted output into the range [0,1]?

Why are saturated neurons problematic in neural networks using the sigmoid activation function?

Which activation function is known for being not zero-centered?

Why is non-linearity crucial in neural networks?

In comparison to Sigmoid, ReLU based functions train much faster, are more expressive than logistic function, prevent gradient vanishing.

What is the primary function of the layers in a deep neural network architecture?

What is the primary idea behind Convolutional Neural Networks (CNNs)?

In neural networks, the role of a cost function is to quantify how well the neural network model is performing on a given task

What is the primary purpose of backpropagation in neural network training?

How are the parameters updated in backpropagation?