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

 UNIT-1

Deep Learning: Fundamentals

Long Answer Questions

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1.     Explain Artificial Neural Network with example.

2.     List the different applications of Artificial Neural Network.

3.     Explain Building Block of Neural Networks with an example.

4.     Discuss Multi-Layer Perceptron (MLP) with an example.

5.     Identify the different layers in ANN. Explain them.

6.     Explain Forward Pass.

7.     Explain Backward Pass.

8.     Explain back propagation algorithm with an example.

9.     List the different optimizers. Explain them.

10.  What is the vanishing and exploding gradient problems? How to overcome those problems. Explain.

11.  List the difficulties in convergence. How to achieve convergence? Explain.

12.  Explain Preprocessing.

13.  Explain Momentum.

14.  What is Learning Rate Decay? Explain.

15.  What is the purpose of weight initialization? Explain.

16.  What is the purpose of Regularization? Explain different techniques of Regularization.

17.  Explain Dropout with example.

18.  Explain softmax activation function with example.

19.  When we use cross entropy loss function? Explain.

20.  List the different activation functions. Explain them.

21.  How to train the neural network? Explain.