Oliver Eyton-Williams bd68b70f3d
Feat: hide blocks not challenges (#39504)
* fix: remove isHidden flag from frontmatter

* fix: add isUpcomingChange

Co-authored-by: Ahmad Abdolsaheb <ahmad.abdolsaheb@gmail.com>

* feat: hide blocks not challenges

Co-authored-by: Ahmad Abdolsaheb <ahmad.abdolsaheb@gmail.com>

Co-authored-by: Ahmad Abdolsaheb <ahmad.abdolsaheb@gmail.com>
2020-09-03 15:07:40 -07:00

1.6 KiB

id, title, challengeType, isRequired
id title challengeType isRequired
5e46f8dcac417301a38fb92e Cat and Dog Image Classifier 10 true

Description

For this challenge, you will use TensorFlow 2.0 and Keras to create a convolutional neural network that correctly classifies images of cats and dogs with at least 63% accuracy.

You can access the full project instructions and starter code on Google Colaboratory.

After going to that link, create a copy of the notebook either in your own account or locally. Once you complete the project and it passes the test (included at that link), submit your project link below. If you are submitting a Google Colaboratory link, make sure to turn on link sharing for "anyone with the link."

We are still developing the interactive instructional content for the machine learning curriculum. For now, you can go through the video challenges in this certification. You may also have to seek out additional learning resources, similar to what you would do when working on a real-world project.

Instructions

Tests

tests:
  - text: 'It should pass all Python tests.'
    testString: ''

Challenge Seed

Solution

  # Python challenges don't need solutions,
  # because they would need to be tested against a full working project.
  # Please check our contributing guidelines to learn more.