I have a 100k dataset for ML, how much should I set up the batch size for training, ?
FYI - I am using the train_test_split library to splitting the data into train and test sets.
Thank you!
## Fit network
history = model.fit(X_train, Y_train, epochs = 1500, validation_split=0.2, verbose=1, shuffle=False, batch_size=60)
Wannees, You need to give more details so that others can help you. Such as type of data (numeric or image), application, number of features/ targets, network architecture, etc.
You may learn something from the existing question in this web: How to calculate optimal batch size, https://stats.stackexchange.com/questions/153531/what-is-batch-size-in-neural-network