From 406bd73bbcf5c4cc822d117710574f3ef06a957e Mon Sep 17 00:00:00 2001 From: Jim Bennett Date: Mon, 5 Jul 2021 19:33:21 -0700 Subject: [PATCH] Quizes (#161) * Adding content * Update en.json * Update README.md * Update TRANSLATIONS.md * Adding lesson tempolates * Fixing code files with each others code in * Update README.md * Adding lesson 16 * Adding virtual camera * Adding Wio Terminal camera capture * Adding wio terminal code * Adding SBC classification to lesson 16 * Adding challenge, review and assignment * Adding images and using new Azure icons * Update README.md * Update iot-reference-architecture.png * Adding structure for JulyOT links * Removing icons * Sketchnotes! * Create lesson-1.png * Starting on lesson 18 * Updated sketch * Adding virtual distance sensor * Adding Wio Terminal image classification * Update README.md * Adding structure for project 6 and wio terminal distance sensor * Adding some of the smart timer stuff * Updating sketchnotes * Adding virtual device speech to text * Adding chapter 21 * Language tweaks * Lesson 22 stuff * Update en.json * Bumping seeed libraries * Adding functions lab to lesson 22 * Almost done with LUIS * Update README.md * Reverting sunlight sensor change Fixes #88 * Structure * Adding speech to text lab for Pi * Adding virtual device text to speech lab * Finishing lesson 23 * Clarifying privacy Fixes #99 * Update README.md * Update hardware.md * Update README.md * Fixing some code samples that were wrong * Adding more on translation * Adding more on translator * Update README.md * Update README.md * Adding public access to the container * First part of retail object detection * More on stock lesson * Tweaks to maps lesson * Update README.md * Update pi-sensor.md * IoT Edge install stuffs * Notes on consumer groups and not running the event monitor at the same time * Assignment for object detector * Memory notes for speech to text * Migrating LUIS to an HTTP trigger * Adding Wio Terminal speech to text * Changing smart timer to functions from hub * Changing a param to body to avoid URL encoding * Update README.md * Tweaks before IoT Show * Adding sketchnote links * Adding object detection labs * Adding more on object detection * More on stock detection * Finishing stock counting * Tidying stuff * Adding wio purchase link * Updating Seeed logo * Update pi-proximity.md * Fix clean up link Fixes #145 * Moving attributions to a separate file * First draft of edge classifier * Adding extras * Moving folder * Adding lesson 11 questions * Image improvements * More image tweaks * Adding lesson 12 quiz * Quiz for lesson 13 * Adding quiz for lesson 14 * Lesson 15 and 16 quiz --- quiz-app/src/assets/translations/en.json | 196 +++++++++++++++++++++++ 1 file changed, 196 insertions(+) diff --git a/quiz-app/src/assets/translations/en.json b/quiz-app/src/assets/translations/en.json index fcc78783..730419db 100644 --- a/quiz-app/src/assets/translations/en.json +++ b/quiz-app/src/assets/translations/en.json @@ -1423,6 +1423,202 @@ ] } ] + }, + { + "id": 29, + "title": "Lesson 15 - Train a fruit quality detector: Pre-Lecture Quiz", + "quiz": [ + { + "questionText": "Cameras can be used as IoT sensors", + "answerOptions": [ + { + "answerText": "True", + "isCorrect": "true" + }, + { + "answerText": "False", + "isCorrect": "false" + } + ] + }, + { + "questionText": "Fruit can be sorted using cameras", + "answerOptions": [ + { + "answerText": "True", + "isCorrect": "true" + }, + { + "answerText": "False", + "isCorrect": "false" + } + ] + }, + { + "questionText": "Images-based AI models are incredibly complex and time consuming to train, requiring hundreds of thousands of images:", + "answerOptions": [ + { + "answerText": "True", + "isCorrect": "false" + }, + { + "answerText": "False", + "isCorrect": "true" + } + ] + } + ] + }, + { + "id": 30, + "title": "Lesson 15 - Train a fruit quality detector: Post-Lecture Quiz", + "quiz": [ + { + "questionText": "The technique custom vision uses to train a model with only a few images is called:", + "answerOptions": [ + { + "answerText": "Transformational learning", + "isCorrect": "false" + }, + { + "answerText": "Transaction learning", + "isCorrect": "false" + }, + { + "answerText": "Transfer learning", + "isCorrect": "true" + } + ] + }, + { + "questionText": "Image classifiers can be trained using:", + "answerOptions": [ + { + "answerText": "Only 1 image per tag", + "isCorrect": "false" + }, + { + "answerText": "At least 5 images per tag", + "isCorrect": "true" + }, + { + "answerText": "At least 50 images per tag", + "isCorrect": "false" + } + ] + }, + { + "questionText": "The hardware that allows ML models to be trained quickly, as well as making the graphics on out Xbox look amazing are called:", + "answerOptions": [ + { + "answerText": "PGU", + "isCorrect": "false" + }, + { + "answerText": "GPU", + "isCorrect": "true" + }, + { + "answerText": "PUG", + "isCorrect": "false" + } + ] + } + ] + }, + { + "id": 31, + "title": "Lesson 16 - Check fruit quality from an IoT device: Pre-Lecture Quiz", + "quiz": [ + { + "questionText": "IoT devices are not powerful enough to use cameras:", + "answerOptions": [ + { + "answerText": "True", + "isCorrect": "false" + }, + { + "answerText": "False", + "isCorrect": "true" + } + ] + }, + { + "questionText": "Camera sensors use film to capture images", + "answerOptions": [ + { + "answerText": "True", + "isCorrect": "false" + }, + { + "answerText": "False", + "isCorrect": "true" + } + ] + }, + { + "questionText": "Camera sensors send which type of data", + "answerOptions": [ + { + "answerText": "Digital", + "isCorrect": "true" + }, + { + "answerText": "Analog", + "isCorrect": "false" + } + ] + } + ] + }, + { + "id": 32, + "title": "Lesson 16 - Check fruit quality from an IoT device: Post-Lecture Quiz", + "quiz": [ + { + "questionText": "A published version of a custom vision model is called an:", + "answerOptions": [ + { + "answerText": "Iteration", + "isCorrect": "true" + }, + { + "answerText": "Instance", + "isCorrect": "false" + }, + { + "answerText": "Iguana", + "isCorrect": "false" + } + ] + }, + { + "questionText": "When images are sent for classification, they then become available to retrain the model:", + "answerOptions": [ + { + "answerText": "True", + "isCorrect": "true" + }, + { + "answerText": "False", + "isCorrect": "false" + } + ] + }, + { + "questionText": "You don't need to use images captured from an IoT device to train the model as the cameras are as good quality as phone cameras:", + "answerOptions": [ + { + "answerText": "True", + "isCorrect": "false" + }, + { + "answerText": "False", + "isCorrect": "true" + } + ] + } + ] } ] }