Convolutional Neural Networks¶
Convolution Basics¶
Convolutional layer¶
Pooling Layers¶
Data Augmentation¶
Increasing the training dataset by performing some operations to the input data
Ex
Shifting images
Adding noise
Rotating images
Flipping images
Adding other filters
Transfer Learning¶
Making use of a model that was trained on a very large dataset for a different purpose. The model will likely still have useful training
Use the first parts of the nework and retraining the final classification layer