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

WEEK 9 - Write a program to implement SVM algorithm to classify the iris data set. Print both correct and wrong predictions.

 WEEK 9 - Write a program to implement SVM algorithm to classify the iris data set. Print both correct and wrong predictions.