R Deep Learning Essentials - Second Edition

Summary

This chapter showed how to get started building and training neural networks to classify data, including image recognition and physical activity data. We looked at packages that can visualize a neural network and we created a number of models to perform classification on data with 10 different categories. Although we only used some neural network packages rather than deep learning packages, our models took a long time to train and we had issues with overfitting.

Some of the basic neural network models in this chapter took a long time to train, even though we did not use all the data available. For the MNIST data, we used approx. 8,000 rows for our binary classification task and only 6,000 rows for our multi-classification task. Even ...