What is WandB and what is it used for?

Weights & Biases (WandB) is a machine learning development platform that allows users to track and visualize various aspects of their model training process in real-time.

Applications

In the context of machine learning, WandB is primarily used to:

• Track model performance metrics such as accuracy, loss, and other evaluation metrics during the training and evaluation phases.

• Visualize the model's learning process using graphs, charts, and histograms to gain insights into how the model is performing.

• Compare different models and their performance metrics to help choose the best-performing one.

• Collaborate with others by sharing experiments and results.

Wandb is a useful tool for machine learning engineers, data scientists, and researchers who want to optimize their machine learning models and make informed decisions during development. With wandb, users can easily keep track of multiple experiments, compare results, and identify the best-performing model for a particular task.

Steps to create a WandB account

Follow the steps below to create a WandB account and retrieve the API key:

1. Head over to the WandB homepage and click the "SIGN UP" button in the top right corner.

2. Enter an email address and a password and click the "SIGN UP" button.

3. A confirmation email will be sent to the provided email address. Click the "Verify email" link given in the email.

4. Enter the following information on the account creation page and click the "Sign Up" button:

   1. Full name

   2. Company or institution

   3. Username

5. Select "Personal" for "How do you plan to use W&B?" and click the "Continue" button. This will redirect to the account homepage.

6. Copy the API key under the "Authorize with your API key." heading.

Now, you can use this API key to authenticate your account and provide secure access to your data and experiments.