36. Quiz 2: Mini-batch

Let's use mini-batching to feed batches of MNIST features and labels into a linear model.

Set the batch size and run the optimizer over all the batches with the batches function. The recommended batch size is 128. If you have memory restrictions, feel free to make it smaller.

This quiz is not graded, see the solution notebook for one way to solve this quiz.

Workspace

This section contains either a workspace (it can be a Jupyter Notebook workspace or an online code editor work space, etc.) and it cannot be automatically downloaded to be generated here. Please access the classroom with your account and manually download the workspace to your local machine. Note that for some courses, Udacity upload the workspace files onto https://github.com/udacity , so you may be able to download them there.

Workspace Information:

  • Default file path:
  • Workspace type: jupyter
  • Opened files (when workspace is loaded): n/a

The accuracy is low, but you probably know that you could train on the dataset more than once. You can train a model using the dataset multiple times. You'll go over this subject in the next section where we talk about "epochs".

Next Concept