Files
freeCodeCamp/curriculum/challenges/_meta/how-neural-networks-work/meta.json
Nicholas Carrigan (he/him) 8372623f69 chore(curriculum): fix + test curriculum order (#44366)
* chore(tools): test curriculum order

* chore: update orders

* fix(tests): temporarily ignore cert super

The Relational Databases cert being 'upcomingChanges' is breaking
the tests.

* fix: graphql query here

* fix: use only one meta

* chore: remove unnecessary superOrders

* chore: zero-based indexing

* fix: update mock

* refactor: remove unused fixture

Co-authored-by: Oliver Eyton-Williams <ojeytonwilliams@gmail.com>
2021-12-06 16:55:13 +00:00

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{
"name": "How Neural Networks Work",
"isUpcomingChange": false,
"dashedName": "how-neural-networks-work",
"order": 1,
"time": "10 hours",
"template": "",
"required": [],
"superBlock": "machine-learning-with-python",
"superOrder": 10,
"challengeOrder": [
[
"5e9a0e9ef99a403d019610ca",
"How Deep Neural Networks Work"
],
[
"5e9a0e9ef99a403d019610cb",
"Recurrent Neural Networks RNN and Long Short Term Memory LSTM"
],
[
"5e9a0e9ef99a403d019610cc",
"Deep Learning Demystified"
],
[
"5e9a0e9ef99a403d019610cd",
"How Convolutional Neural Networks work"
]
]}