Deep Learning: UNIT-2 : CNN: Long Answer Questions

UNIT II

CNN

Long Answer Questions

------------------------------------------------------------------------------------------------------

1.     Explain CNN with an example.

2.     List the different applications of CNN.

3.     Write an example function for Convolution and Pooling operations and explain in detail.

4.     Draw and explain the architecture of convolution neural networks.

5.     Explain about the convolutional layers in CNN.

6.     Explain striding and padding in CNN with example.

7.     Draw the structure of CNN.

8.     Apply CNN architecture to Classify MNIST Hand Written Dataset.

9.     List the difference between CNN and Fully Connected Layers.

Deep Learning: UNIT-2 CNN

 UNIT II

CNN

1.     Introduction
2.     striding and padding
3.     pooling layers
4.     structure
5.     operations and prediction of CNN with layers
6.     CNN -Case study with MNIST

7.     CNN VS Fully Connected

 👉Deep Learning: UNIT-2: CNN PPTs

👉Deep Learning: UNIT-2 CNN Notes

👉Deep Learning: UNIT-2 : CNN: Long Answer Questions

👉Deep Learning: UNIT-2: CNN : Short Answer Questions

Deep Learning: UNIT-2 PPT

UNIT II 

CNN 

1. Introduction 

2. striding and padding 

 3. pooling layers 

4. structure 

5. operations and prediction of CNN with layers 

6. CNN -Case study with MNIST 

7. CNN VS Fully Connected

Deep Learning: UNIT 2- CNN Notes

                                                                              UNIT II 

CNN 

1. Introduction 

2. striding and padding 

 3. pooling layers 

4. structure 

5. operations and prediction of CNN with layers 

6. CNN -Case study with MNIST 

7. CNN VS Fully Connected