From e01fc8222abf29f294d3595ec02d3879ff33dc7c Mon Sep 17 00:00:00 2001 From: Jen Looper Date: Thu, 21 Apr 2022 09:47:28 -0400 Subject: [PATCH] renumbering quizzes --- 1-Intro/README.md | 4 ++-- 2-Symbolic/README.md | 4 ++-- 3-NeuralNetworks/03-Perceptron/README.md | 4 ++-- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/1-Intro/README.md b/1-Intro/README.md index f1df4c98..d9e45645 100644 --- a/1-Intro/README.md +++ b/1-Intro/README.md @@ -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 diff --git a/2-Symbolic/README.md b/2-Symbolic/README.md index 6706a50f..739ce359 100644 --- a/2-Symbolic/README.md +++ b/2-Symbolic/README.md @@ -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 diff --git a/3-NeuralNetworks/03-Perceptron/README.md b/3-NeuralNetworks/03-Perceptron/README.md index df2d7e01..72551d0e 100644 --- a/3-NeuralNetworks/03-Perceptron/README.md +++ b/3-NeuralNetworks/03-Perceptron/README.md @@ -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