BexTuychiev

$ dvc add models dvclive
$ git commit -am "exp: CNN All layers, 0.992 val accuracy"

BexTuychiev

$ git add - all
$ git commit -m "Update train.py to use a DVCLive logger"
$ git tag cnn-all-layers
$ python src/train.py

BexTuychiev

# Set the parameters
params = {
  "image_width": 30,
  "image_height": 30,
  "batch_size": 32,
  "learning_rate": 0.001,
  "n_epochs": 10
}

logger.log_params(params)

BexTuychiev

from dvclive import Live
…

# Set up the logger
logger = Live(save_dvc_exp=True)

BexTuychiev

$ dvc add dvclive models
$ git add - all
$ git commit -m "exp: Run the baseline experiment"

BexTuychiev

import …
from dvclive.keras import DVCLiveCallback

# The rest of the script
…

# Line 87
callbacks = [
…,
DVCLiveCallback(save_dvc_exp=True)

BexTuychiev

$ git add - all
$ git commit -m "Track the dataset with DVC"

BexTuychiev

$ dvc init
$ dvc get https://dagshub.com/BexTuychiev/dvc-tutorial data

BexTuychiev

$ conda create -n dvc-tutorial python==3.9 -y
$ conda activate dvc-tutorial
$ python -r requirements.txt

BexTuychiev

$ git clone - branch experiments https://github.com/YourUsername/dvc-tutorial.git dvc-tutorial
$ cd dvc-tutorial
$ code .