Deep Learning MCQ's

1. Data Collected from Survey results is an example of ______

   View Answer   

   structured data

2. Gradient at a given layer is the product of all gradients at the previous layers.

   View Answer   

   True

3. Name the component of a Neural Network where the true value of the input is not observed.

   View Answer   

   hidden layer

4. _______________ is a Neural Nets way of classifying inputs.

   View Answer   

   FP

5. Prediction Accuracy of a Neural Network depends on _______________ and ______________.

   View Answer   

   weight and bias

Overfitting & Underfitting in Machine Learning

 

Overfitting in Machine Learning

Overfitting refers to a model that models the training data too well.

Overfitting happens when a model learns the detail and noise in the training data to the extent that it negatively impacts the performance of the model on new data. This means that the noise or random fluctuations in the training data is picked up and learned as concepts by the model. The problem is that these concepts do not apply to new data and negatively impact the models ability to generalize.

Deep Learning basic MCQ's

 1)What is the difference between the actual output and generated output known as? 

Output Modulus 

Accuracy 

Cost 

Output Difference 

Answer:-Cost 

(2)Recurrent Neural Networks are best suited for Text Processing. 

True 

False 

Answer:-True