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