Neural Networks are complex ______________ with many parameters.

Related MCQs

• During the last few years, many              algorithms have been applied to deep neural networks to learn the best policy for playing Atari video games and to teach an agent how to associate the right action with an input representing the state.
• During the last few years, many              algorithms have been applied to deep neural networks to learn the best policy for playing Atari video games and to teach an agent how to associate the right action with an input representing the state.
• During the last few years, many algorithms have been applied to deep neural networks to learn the best policy for playing Atari video games and to teach an agent how to associate the right action with an input representing the state.
• During the last few years, many ______ algorithms have been applied to deep neural networks to learn the best policy for playing Atari video games and to teach an agent how to associate the right action with an input representing the state.
• 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?
• Neural networks
• How is the model capacity affected with dropout rate (where model capacity means the ability of a neural network to approximate complex functions)?
• Which statement is true about neural network and linear regression models?
• Which of the following is an application of NN (Neural Network)?