Overfitting is a common problem in machine learning and artificial intelligence. Neural networks are especially prone to overfitting because they are so flexible and can learn complex patterns. Overfitting means that the neural network has learned the training data too well and does not generalize well to new data. This can be a problem because…
Tag: overfitting
Neural networks that are sensitive to small changes in the data
There are many ways to make neural networks more robust to small changes in data and architecture. One way is to use data augmentation, which essentially creates more data by artificially changing the data that already exists. This can be done by adding noise, flipping images, or other types of transformations. Data augmentation can help…