Which of the following is an application of NN (Neural Network)?

Related MCQs

• Assume that you are given a data set and a neural network model trained on the data set. You are asked to build a decision tree model with the sole purpose of understanding/interpreting the built neural network model. In such a scenario, which among the following measures would you concentrate most on optimising?
•  Given above is a description of a neural network. When does a neural network model become a deep learning model?
• Which one of the following is not a major strength of the neural network approach?
• Which statement is true about neural network and linear regression models?
• How is the model capacity affected with dropout rate (where model capacity means the ability of a neural network to approximate complex functions)?
• It is possible to design a Linear regression algorithm using a neural network?
• It is possible to design a Linear regression algorithm using a neural network?
• What is back propagation? a) It is another name given to the curvy function in the perceptron b) It is the transmission of error back through the network to adjust the inputs c) It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn d) None of the mentioned
• In which neural net architecture, does weight sharing occur?
• Neural networks