October 2018
Intermediate to advanced
134 pages
2h 39m
English
Before we can begin training our neural network, we need to split the dataset into training and testing datasets. This will allow us to test our network after we are done training in order to determine how well it will generalize new data. This step is incredibly easy when using the train_test_split() function provided by scikit-learn. So, we reserve some of the data that we have to test so that we can see how well our algorithm is performing.
Read now
Unlock full access