Home » Introduction to TensorFlow » The activations in regularization is scaled by which of the following The activations in regularization is scaled by which of the following Regularization >>> The activations in regularization is scaled by which of the following >>> Introduction to TensorFlow 1. Question 1 The activations in regularization is scaled by which of the following ? 1 / 1 point 1 / (1 – accuracy) 1 / (1 – dropout probability) 1 / (1 – loss value) None of the above. 2. Question 2 How does regularization help build generalizable models ? 1 / 1 point By adding dropout layers to our neural networks. By using image processing APIS to find out accuracy. Both A & B None of the above. 4. Question 4 Which of the following statements is true? 1 / 1 point L2 regularization will keep the weight values smaller and L1 regularization will make the model sparser by dropping poor features. L1 regularization will keep the weight values smaller and L2 regularization will make the model sparser by dropping poor features. Both A and B None of the above 3. Question 3 The L2 regularization provides which of the following? 1 / 1 point It subtracts a sum of the squared parameter weights term to the loss function. It multiplies a sum of the squared parameter weights term to the loss function. It adds a sum of the squared parameter weights term to the loss function. None of the above 5. Question 5 Which is an approximate equivalent of L2 regularization? 1 / 1 point Training Data Set Validation Data sets Early Stopping None of the above Other Questions Of This Category Which of the following statements is true of TensorFlowSelect the correct statement regarding the Keras Functional APIThe Keras Functional API provides which of the followingWhich are useful components when building custom Neural Network modelsWhich model is appropriate for a plain stack of layersChoose the correct workflow to serve your model in the cloudNon linearity helps in training your model at a much faster rate and with more accuracy without the loss of your important informationWhich of the following is a type of feature columnWhat operations can be performed on tensorsWhat are distinct ways to create a dataset
