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What if we use a learning rate that’s too large?
Can cause the model to never converge
Can cause the model to converge too quickly to a suboptimal solution
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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
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