ML Quiz 13

The loss function for ________ is squared loss

• linear regression

• logistic regression

• k-means clustering

• random forest

• cnn

The loss function for ________ is Log Loss,

• linear regression

• logistic regression

• k-means clustering

• random forest

• cnn

The above classification problem is _________

• linear

• hyperbolic

• parabolic

• nonlinear

_______ means that you can't accurately predict a label with a model of the form

 $b\ +\ w_1x_1+w_2x_2\ \$  

• Nonlinear

• Linear

• Parabolic

• Hyperbolic

Activation Functions are ________

• linear

• nonlinear

• cost function

ReLU activation function converts the weighted sum to a value between 0 and 1.

• True

• False

Check the standard components of neural network.

• A set of nodes, analogous to neurons, organized in layers.

• A set of weights representing the connections between each neural network layer and the layer beneath it. The layer beneath may be another neural network layer, or some other kind of layer.

• A set of biases, one for each node.

• An activation function that transforms the output of each node in a layer. Different layers may have different activation functions.

Does pattern classification belongs to category of non-supervised learning?

• yes

• no

What is an activation value?

• weighted sum of inputs

• threshold value

• main input to neuron

• none of the mentioned

Negative sign of weight indicates?

• excitatory input

• inhibitory input

• excitatory output

• inhibitory output