renumbering quizzes
This commit is contained in:
parent
a7f5ac8d52
commit
e01fc8222a
|
|
@ -4,7 +4,7 @@
|
|||
|
||||
> Sketchnote by [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
|
||||
## [Pre-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/101)
|
||||
## [Pre-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/1)
|
||||
|
||||
**Artificial Intelligence** is an exciting scientific discipline that studies how we can make computers exhibit intelligent behavior, e.g. do those things that human beings are good at doing.
|
||||
|
||||
|
|
@ -140,7 +140,7 @@ Over the past few years we have witnessed huge successes with large language mod
|
|||
|
||||
Do a tour of the internet to determine where, in your opinion, AI is most effectively used. Is it in a Mapping app, or some speech-to-text service or a video game? Research how the system was built.
|
||||
|
||||
## [Post-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/201)
|
||||
## [Post-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/2)
|
||||
|
||||
## Review & Self Study
|
||||
|
||||
|
|
|
|||
|
|
@ -6,7 +6,7 @@
|
|||
|
||||
The quest for artificial intelligence is based on a search for knowledge, to make sense of the world similar to how humans do. But how can you go about doing this?
|
||||
|
||||
## [Pre-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/2)
|
||||
## [Pre-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/3)
|
||||
|
||||
In the early days of AI, the top-down approach to creating intelligent systems (discussed in the previous lesson) was popular. The idea was to extract the knowledge from people into some machine-readable form, and then use it to automatically solve problems. This approach was based on two big ideas:
|
||||
|
||||
|
|
@ -220,7 +220,7 @@ Nowadays, AI is often considered to be a synonym for *Machine Learning* or *Neur
|
|||
|
||||
In the three notebooks associated to this lesson, there are challenges at the end - pick one, and try to solve it!
|
||||
|
||||
## [Post-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/3)
|
||||
## [Post-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/4)
|
||||
|
||||
## Review & Self Study
|
||||
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
# Introduction to Neural Networks: Perceptron
|
||||
|
||||
## [Pre-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/4)
|
||||
## [Pre-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/5)
|
||||
|
||||
One of the first attempts to implement something similar to a modern neural network was done by Frank Rosenblatt from Cornell Aeronautical Laboratory in 1957. It was a hardware implementation called "Mark-1", designed to recognize primitive geometric figures, such as triangles, squares and circles.
|
||||
|
||||
|
|
@ -77,7 +77,7 @@ In this lesson, you learned about a perceptron, which is a binary classification
|
|||
|
||||
If you'd like to try to build your own perceptron, try [this lab on Microsoft Learn](https://docs.microsoft.com/en-us/azure/machine-learning/component-reference/two-class-averaged-perceptron?WT.mc_id=academic-57639-dmitryso) which uses the [Azure ML designer](https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer?WT.mc_id=academic-57639-dmitryso).
|
||||
|
||||
## [Post-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/5)
|
||||
## [Post-lecture quiz](https://black-ground-0cc93280f.1.azurestaticapps.net/quiz/6)
|
||||
|
||||
## Review & Self Study
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue