This community-built FAQ covers the “Representing a Perceptron” exercise from the lesson “Perceptron”.
Paths and Courses
This exercise can be found in the following Codecademy content:
Data Scientist: Machine Learning Specialist
Build Deep Learning Models with TensorFlow
Data Scientist: Natural Language Processing Specialist
Build a Machine Learning Model with Python
Learn the Basics of Machine Learning
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 () 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.
Ask or answer a question about this exercise by clicking reply () below!
You can also find further discussion and get answers to your questions over in #get-help.
Agree with a comment or answer? Like () to up-vote the contribution!
Looking for motivation to keep learning? Join our wider discussions in #community
Learn more about how to use this guide.
Found a bug? Report it online, or post in #community:Codecademy-Bug-Reporting
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!