Q1easy
What is a Mini-Batch Gradient Descent?
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18 Questions Total
Deep Learning Fundamentals MCQs
Topic-wise practice questions for Artificial Intelligence & Machine Learning. Test your knowledge, check solutions on demand, and pace your preparation.
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Practice in Timed ModeQ2easy
What is Cross-Entropy Loss used for?
Q3easy
If the model is Overfitting, what should you do to the number of Epochs?
Q4easy
What does the keras.layers.Dropout(0.2) layer mean?
Q5easy
Why is Dropout used in Deep Neural Networks?
Q6easy
Why are non-linear activation functions (like ReLU) essential in Deep Learning?
Q7easy
What is the difference between Batch Gradient Descent and Stochastic Gradient Descent (SGD)?
Q8easy
What is Epoch in the context of training?
Q9medium
A Deep Learning model has 100 layers and is not learning anything in the first few layers. What is this phenomenon called?
Q10medium
In a neural network defined by the following snippet, how many parameters (weights) are in the input layer if there are 10 inputs and 5 neurons in the first hidden layer?