If an LSTM model for NER has a dropout layer with a dropout rate of 0.2, what percentage of the neurons are kept during training?Question 3Answera.100%b.80%c.20%d.50%

If a neural network with a single hidden layer uses dropout with a rate of 0.5, what fraction of neurons are turned off during each training step?

Assume a progress claims net value is $300000, and retention values in the contract state retention is 10% for the first $200000 and 5% thereafter what value is deducted for retention.

Consider the following table that shows the comparison of people who have visited the website and those who have completed the purchase from different channels. Dropout rate is defined as the number of people who do not complete a particular transaction.  Channel Top of the funnel PurchaseApp 20000 800Instagram 8000 200Online Ads 10000 250Google search 4000 100Which of the following has the least dropout rate?AppInstagramOnline AdsGoogle Search

In a deep learning model, the learning rate is set to 0.001. If the gradient of the loss function is 0.2, what is the update value for the weights?

Which of the following is true about model capacity (where model capacity means the ability of the neural network to approximate complex functions)?Question 27Select one:A.As the dropout ratio increases, model capacity increasesB.As learning rate increases, model capacity increasesC.As the number of hidden layers increases, model capacity increasesD.None