![]() ![]() We will also discuss in detail what happened during training and how to spot overfitting. Prevent overfitting and increase accuracy.How to train a Keras model using the ImageDataGenerator class.In this python Colab tutorial you will learn: In Keras, the lightweight tensorflow library, image data augmentation is very easy to include into your training runs and you get a augmented training set in real-time with only a few lines of code. With good data augmentation, you can start experimenting with convolutional neural networks much earlier because you get away with less data. Image data augmentation is very powerful and should be in every deep learning engineer's toolbox! While we could stop the training early or add regularization techniques, it is usually good practice to implement a basic data augmentation in your training routine. ![]() In deep learning, we are often limited by the amount of available data and overfitting becomes a real problem. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. Archives
December 2022
Categories |