Login using Social Account
Login using your credentials
Choose the correct option:
Y = WT. X
Y denotes the vector of Outputs
X denotes the vector of Inputs
First element of X is 1
W denotes the vector of calculated Weights
All of the above
Taking you to the next exercise in seconds...
Stay here Next Exercise
Want to create exercises like this yourself? Click here.
Note - Having trouble with the assessment engine? Follow the steps listed here
No hints are availble for this assesment
1 ANN - Step function converts continuous integer values into boolean (binary) values.
2 ANN - Count the total number of weight variables in the given picture.
3 ANN - In the following diagram, Learning rate is?
4 ANN - On which point the rate of change of error will not change with respect to input?
5 ANN - On which point the rate of change of error with respect to input is maximum?
6 ANN - Choose the correct options -
7 ANN - Bias is used to give more degrees of freedom.
8 ANN - Bias is only used in the first layer of a deep neural network?
9 ANN - ANN is nothing but an extension of the multilayer perceptron (MLP) model
10 ANN - Artificial neural network is used for
11 ANN - Training of neural network means?
12 ANN - What if we use a learning rate that’s too large?
13 ANN - In a neural network, which of the following techniques is used to deal with overfitting?
14 ANN - Which of the following gives non-linearity to a neural network?
15 ANN - In a neural network
16 ANN - What is full form of ANNs?
17 ANN - Which is true for neural networks?
18 ANN - In Artificial Neural Network interconnected processing elements are called
Loading comments...