Deep Learning: UNIT-1 : Deep Learning Fundamentals- Short Answer Questions

 UNIT-1

Deep Learning: Fundamentals

Short Answer Questions

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1.     Define Artificial Neural Network.

2.     Define Neuron.

3.     List the operations performed by ANN layers.

4.     List the different applications of Deep Learning.

5.     Define Deep Learning.

6.     List the different applications of Artificial Neural Network.

7.     List the Building Block of Neural Networks.

8.     Define Dense layer.

9.     What is loss function.

10.  Identify the different layers in ANN.

11.  Explain Forward Pass.

12.  Explain Backward Pass.

13.  List the different optimizers.

14.  How to overcome vanishing and exploding gradient problems

15.  List the difficulties in convergence.

16.  Define Preprocessing.

17.  Define Momentum.

18.  What is Learning Rate Decay?

19.  What is the purpose of weight initialization?

20.  What is Regularization?

21.  List different Regularization techniques.

22.  Define Dropout.

23.  Define SoftMax activation function.

24.  When we use cross entropy loss function?

25.  List the different activation functions.

26.  Define sigmoid activation function.

27.  Define tanh activation function.

28.  Define ReLU activation function.

29.  How to train the neural network?

30.  Compare the ReLU activation function with the sigmoid activation function.