|
Week - 1 |
Introduction, History |
|
Week - 2 |
The importance and application areas of deep learning |
|
Week - 3 |
Structure of artificial neural networks |
|
Week - 4 |
CNN and convolutional layer definition and structure |
|
Week - 5 |
Layers and architecture of artificial neural networks |
|
Week - 6 |
Current and successful architectures |
|
Week - 7 |
Smote and data augmentation techniques |
|
Week - 8 |
Midterm |
|
Week - 9 |
Image preprocessing in deep learning |
|
Week - 10 |
Unbalanced classification and its prevention methods |
|
Week - 11 |
Designing and implementing a deep learning architecture |
|
Week - 12 |
Deep learning application with public data sets |
|
Week - 13 |
Success metrics and calculation methods |
|
Week - 14 |
The importance of the class activation map and calculation methods |
Eskisehir Technical University Info Package 
Turkish 
English