Now you can monitor your deep learning model using an application called'TensorDash' remotely instead of sitting in front of your workstation to monitor your DL model's progress. 'TensorDash' lets you remotely monitor your deep learning model's metrics and notifies you when your model training is completed or crashed. This could be really helpful while training a model on the cloud (Google Colab). Note: These installation steps assume that you are on a Linux or Mac environment. If you are on Windows, you will need to remove sudo to run the commands below.

Let's face it; training a machine learning model is time-consuming. Even with the advancement in computing prowess over the past few years, training machine learning models takes a lot of time. Even the most trivial models have more than a million parameters. On a bigger scale, these models have over a billion parameters(GPT-3 has over 175 billion parameters!), and training these models takes days, if not weeks. As a Data Scientist, we would want to keep an eye on the model's metrics to know if the model performs as per expectations.