FAQ: Perceptron - Training Error

This community-built FAQ covers the “Training Error” exercise from the lesson “Perceptron”.

Paths and Courses
This exercise can be found in the following Codecademy content:

FAQs on the exercise Training Error

There are currently no frequently asked questions associated with this exercise – that’s where you come in! You can contribute to this section by offering your own questions, answers, or clarifications on this exercise. Ask or answer a question by clicking reply (reply) below.

If you’ve had an “aha” moment about the concepts, formatting, syntax, or anything else with this exercise, consider sharing those insights! Teaching others and answering their questions is one of the best ways to learn and stay sharp.

Join the Discussion. Help a fellow learner on their journey.

Ask or answer a question about this exercise by clicking reply (reply) below!

Agree with a comment or answer? Like (like) to up-vote the contribution!

Need broader help or resources? Head here.

Looking for motivation to keep learning? Join our wider discussions.

Learn more about how to use this guide.

Found a bug? Report it!

Have a question about your account or billing? Reach out to our customer support team!

None of the above? Find out where to ask other questions here!

For step 1, is it possible to get inputs, actual from training_set.items(), then pass directly to step 3?

1 Like

What is the difference between perceptron and linear regression?

Do the training set consists of -1 and +1 ? Like e.g. [-1, 1, 1, -1, -1, …]
Otherwise it would not make sense to assign its items as actual values, does it?

quite unclear that training_set is a dict. it would be better to state the type and key/value in the question steps.

1 Like

Have you all spotted the easter egg on blockchain in the file system?