import neptune.new as neptune
project="common/quickstarts", # anyone can log to this public project
api_token="ANONYMOUS", # enables logging without registration
# Track metadata and hyperparameters of your run
run["algorithm"] = "ConvNet"
run["parameters"] = params
# Track the training process by logging your training metrics
run["train/accuracy"].log(epoch * 0.6)
run["train/loss"].log(epoch * 0.4)
# this just creates a couple of series so we can view them as charts
# Stop the connection and sync the data with Neptune