Training a neural network can be quite confusing. From setting training parameters, such as activation functions and the number of neurons on each layer, to the model architecture to the number of epochs, everything in SignTrack is automated, with the power of AutoTrain, requiring minimal or no adjustment from the user while training.
Training a neural network can become confusing. Everything in SignTrack is automated, with the power of AutoTrain. AutoTrain automatically sets training parameters, such as the number of epochs and data split. Forming a training process that requires minimal or no adjustment from the user.
AutoTrain makes sure that you get the most out of your dataset. It sets all the training parameters for you while automatically saving the best-performing model. What's more AutoTrain has now been redefined to make for an even faster tracking experience. FastTrack has been implemented right through the model training proccess, a new way of data augmentation, that improves the overall performance of the model, not only regarding FastTrack.
