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AI-For-Beginners
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Update quiz questions

This commit is contained in:
Dmitri Soshnikov 2022-04-29 20:20:16 +03:00
parent 5140287527
commit 7fa258bca8
8 changed files with 323 additions and 85 deletions
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18
etc/quiz-app/src/assets/translations/en/index.js
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@ -1,11 +1,7 @@
import en1 from "./lesson-1.json";
import en2 from "./lesson-2.json";
import en3 from "./lesson-3.json";
const quiz = {
0: en1[0],
1: en2[0],
2: en3[0]
};
export default quiz;
import x1 from "./lesson-1.json";
import x2 from "./lesson-2.json";
import x3 from "./lesson-3.json";
import x4 from "./lesson-4.json";
import x5 from "./lesson-5.json";
const quiz = { 0 : x1[0], 1 : x2[0], 2 : x3[0], 3 : x4[0], 4 : x5[0] };
export default quiz;

48
etc/quiz-app/src/assets/translations/en/lesson-1.json
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@ -5,7 +5,7 @@
"error": "Sorry, try again",
"quizzes": [
{
"id": 1,
"id": 101,
"title": "Introduction to AI - Pre Quiz",
"quiz": [
{
@ -13,15 +13,15 @@
"answerOptions": [
{
"answerText": "Charles Barkley",
"isCorrect": "false"
"isCorrect": false
},
{
"answerText": "Charles Babbage",
"isCorrect": "true"
"isCorrect": true
},
{
"answerText": "Charles Darwin",
"isCorrect": "false"
"isCorrect": false
}
]
},
@ -30,11 +30,11 @@
"answerOptions": [
{
"answerText": "True",
"isCorrect": "false"
"isCorrect": false
},
{
"answerText": "False",
"isCorrect": "true"
"isCorrect": true
}
]
},
@ -43,51 +43,51 @@
"answerOptions": [
{
"answerText": "false, they are usually designed by a series of rules.",
"isCorrect": "false"
"isCorrect": false
},
{
"answerText": "true, they are usually considered to be 'intelligent'.",
"isCorrect": "false"
"answerText": "true, they are usually considered to be 'intelligent",
"isCorrect": false
},
{
"answerText": "false, but they are increasingly able to pass Turing tests as they become more sophisticated.",
"isCorrect": "true"
"isCorrect": true
}
]
}
]
},
{
"id": 2,
"title": "Introduction to AI: Post-Quiz",
"id": 201,
"title": "Introduction to AI - Post-Quiz",
"quiz": [
{
"questionText": "A top-down approach to AI is a model of reasoning called",
"answerOptions": [
{
"answerText": "strategic reasoning",
"isCorrect": "false"
"isCorrect": false
},
{
"answerText": "symbolic reasoning",
"isCorrect": "true"
"isCorrect": true
},
{
"answerText": "synergistic reasoning",
"isCorrect": "false"
"isCorrect": false
}
]
},
{
"questionText": "A bottom-up approach to AI might leverage a neural network to",
"questionText": "A bottom-up approach to AI is based on neural networks",
"answerOptions": [
{
"answerText": "true",
"isCorrect": "true"
"answerText": "True",
"isCorrect": true
},
{
"answerText": "false",
"isCorrect": "false"
"answerText": "False",
"isCorrect": false
}
]
},
@ -96,15 +96,15 @@
"answerOptions": [
{
"answerText": "1950s",
"isCorrect": "false"
"isCorrect": false
},
{
"answerText": "1960s",
"isCorrect": "false"
"isCorrect": false
},
{
"answerText": "1970s",
"isCorrect": "true"
"isCorrect": true
}
]
}
@ -112,4 +112,4 @@
}
]
}
]
]

43
etc/quiz-app/src/assets/translations/en/lesson-2.json
View File

@ -4,9 +4,8 @@
"complete": "Congratulations, you completed the quiz!",
"error": "Sorry, try again",
"quizzes": [
{
"id": 3,
"id": 102,
"title": "Knowledge Representation and Expert Systems: Pre-Quiz",
"quiz": [
{
@ -14,15 +13,15 @@
"answerOptions": [
{
"answerText": "knowledge seeking and reading",
"isCorrect": "false"
"isCorrect": false
},
{
"answerText": "knowledge representation and reasoning",
"isCorrect": "true"
"isCorrect": true
},
{
"answerText": "knowledge reasoning and seeking",
"isCorrect": "false"
"isCorrect": false
}
]
},
@ -30,12 +29,12 @@
"questionText": "Knowledge is the same as information",
"answerOptions": [
{
"answerText": "true",
"isCorrect": "false"
"answerText": "True",
"isCorrect": false
},
{
"answerText": "false",
"isCorrect": "true"
"answerText": "False",
"isCorrect": true
}
]
},
@ -44,22 +43,22 @@
"answerOptions": [
{
"answerText": "active learning process",
"isCorrect": "true"
"isCorrect": true
},
{
"answerText": "passive learning process",
"isCorrect": "false"
"isCorrect": false
},
{
"answerText": "both of these",
"isCorrect": "false"
"isCorrect": false
}
]
}
]
},
{
"id": 4,
"id": 202,
"title": "Knowledge Representation and Expert Systems: Post-Quiz",
"quiz": [
{
@ -67,15 +66,15 @@
"answerOptions": [
{
"answerText": "algorithmic",
"isCorrect": "true"
"isCorrect": true
},
{
"answerText": "symbolic",
"isCorrect": "false"
"isCorrect": false
},
{
"answerText": "synergistic",
"isCorrect": "false"
"isCorrect": false
}
]
},
@ -84,11 +83,11 @@
"answerOptions": [
{
"answerText": "true",
"isCorrect": "true"
"isCorrect": true
},
{
"answerText": "false",
"isCorrect": "false"
"isCorrect": false
}
]
},
@ -97,15 +96,15 @@
"answerOptions": [
{
"answerText": "executes a reasoning loop",
"isCorrect": "true"
"isCorrect": true
},
{
"answerText": "looks for a goal",
"isCorrect": "false"
"isCorrect": false
},
{
"answerText": "starts over",
"isCorrect": "false"
"isCorrect": false
}
]
}
@ -113,4 +112,4 @@
}
]
}
]
]

43
etc/quiz-app/src/assets/translations/en/lesson-3.json
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@ -4,25 +4,24 @@
"complete": "Congratulations, you completed the quiz!",
"error": "Sorry, try again",
"quizzes": [
{
"id": 5,
"title": "Introduction to Neural Networks - Perceptron: Post-Quiz",
"id": 103,
"title": "Introduction to Neural Networks - Perceptron: Pre-Quiz",
"quiz": [
{
"questionText": "Early neural networks required",
"answerOptions": [
{
"answerText": "manual weight adjusting",
"isCorrect": "true"
"isCorrect": true
},
{
"answerText": "terabytes of data",
"isCorrect": "false"
"isCorrect": false
},
{
"answerText": "special reasoning",
"isCorrect": "false"
"isCorrect": false
}
]
},
@ -31,11 +30,11 @@
"answerOptions": [
{
"answerText": "true",
"isCorrect": "true"
"isCorrect": true
},
{
"answerText": "false",
"isCorrect": "false"
"isCorrect": false
}
]
},
@ -43,23 +42,23 @@
"questionText": "A perceptron is a ___ type of model",
"answerOptions": [
{
"answerText": "linear regression",
"isCorrect": "false"
"answerText": "multi-class classification",
"isCorrect": false
},
{
"answerText": "clustering",
"isCorrect": "false"
"isCorrect": false
},
{
"answerText": "binary classification",
"isCorrect": "true"
"isCorrect": true
}
]
}
]
},
{
"id": 6,
"id": 203,
"title": "Introduction to Neural Networks - Perceptron: Post-Quiz",
"quiz": [
{
@ -67,15 +66,15 @@
"answerOptions": [
{
"answerText": "size",
"isCorrect": "false"
"isCorrect": false
},
{
"answerText": "error",
"isCorrect": "true"
"isCorrect": true
},
{
"answerText": "nodes",
"isCorrect": "false"
"isCorrect": false
}
]
},
@ -84,11 +83,11 @@
"answerOptions": [
{
"answerText": "true",
"isCorrect": "true"
"isCorrect": true
},
{
"answerText": "false",
"isCorrect": "false"
"isCorrect": false
}
]
},
@ -97,15 +96,15 @@
"answerOptions": [
{
"answerText": "learning rate",
"isCorrect": "false"
"isCorrect": false
},
{
"answerText": "weights",
"isCorrect": "true"
"isCorrect": true
},
{
"answerText": "gradient",
"isCorrect": "false"
"isCorrect": false
}
]
}
@ -113,4 +112,4 @@
}
]
}
]
]

122
etc/quiz-app/src/assets/translations/en/lesson-4.json
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@ -4,7 +4,125 @@
"complete": "Congratulations, you completed the quiz!",
"error": "Sorry, try again",
"quizzes": [
{
"id": 104,
"title": "Neural Networks - Pre Quiz",
"quiz": [
{
"questionText": "The quality of prediction is measured by Loss function",
"answerOptions": [
{
"answerText": "True",
"isCorrect": true
},
{
"answerText": "False",
"isCorrect": false
}
]
},
{
"questionText": "One layer network is capable of classifying ____",
"answerOptions": [
{
"answerText": "linearly joined classes",
"isCorrect": false
},
{
"answerText": "linearly separable classes",
"isCorrect": true
},
{
"answerText": "single layers of classes",
"isCorrect": false
}
]
},
{
"questionText": "The method of training multi-layered perceptron is called ____",
"answerOptions": [
{
"answerText": "back propagation",
"isCorrect": true
},
{
"answerText": "multiple propagation",
"isCorrect": false
},
{
"answerText": "front propagation",
"isCorrect": false
}
]
}
]
},
{
"id": 204,
"title": "Neural Networks - Post Quiz",
"quiz": [
{
"questionText": "We use ____ for regression loss functions",
"answerOptions": [
{
"answerText": "absolute error",
"isCorrect": false
},
{
"answerText": "mean squared error",
"isCorrect": false
},
{
"answerText": "all of the above",
"isCorrect": true
}
]
},
{
"questionText": "All but one is a type of classification loss function",
"answerOptions": [
{
"answerText": "0-1 loss",
"isCorrect": false
},
{
"answerText": "binary loss",
"isCorrect": true
},
{
"answerText": "logistic loss",
"isCorrect": false
}
]
},
{
"questionText": "Softmax can be used to convert inputs into probabilities",
"answerOptions": [
{
"answerText": "True",
"isCorrect": false
},
{
"answerText": "False",
"isCorrect": true
}
]
},
{
"questionText": "Cross-entropy loss is a function that can calculate similarity between two arbitrary probability distributions",
"answerOptions": [
{
"answerText": "True",
"isCorrect": true
},
{
"answerText": "False",
"isCorrect": false
}
]
}
]
}
]
}
]
]

128
etc/quiz-app/src/assets/translations/en/lesson-5.json Normal file
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@ -0,0 +1,128 @@
[
{
"title": "AI for Beginners: Quizzes",
"complete": "Congratulations, you completed the quiz!",
"error": "Sorry, try again",
"quizzes": [
{
"id": 105,
"title": "Frameworks - Pre Quiz",
"quiz": [
{
"questionText": "Deep Neural Network training requires a lot of computations",
"answerOptions": [
{
"answerText": "True",
"isCorrect": true
},
{
"answerText": "False",
"isCorrect": false
}
]
},
{
"questionText": "Overfitting occurs because of ____",
"answerOptions": [
{
"answerText": "Not enough testing data",
"isCorrect": false
},
{
"answerText": "Too powerful model",
"isCorrect": true
},
{
"answerText": "Too much noise in output data",
"isCorrect": false
}
]
},
{
"questionText": "Bias errors are caused by our ____ not being able to capture the relationship between training data correctly.",
"answerOptions": [
{
"answerText": "model",
"isCorrect": false
},
{
"answerText": "algorithm",
"isCorrect": true
},
{
"answerText": "computer",
"isCorrect": false
}
]
}
]
},
{
"id": 205,
"title": "Frameworks - Post Quiz",
"quiz": [
{
"questionText": "After compiling our model object, we train by calling ____ function",
"answerOptions": [
{
"answerText": "fit",
"isCorrect": true
},
{
"answerText": "train",
"isCorrect": false
},
{
"answerText": "teach",
"isCorrect": false
}
]
},
{
"questionText": "Binary cross-entropy is also called log loss",
"answerOptions": [
{
"answerText": "True",
"isCorrect": true
},
{
"answerText": "False",
"isCorrect": false
}
]
},
{
"questionText": "Tensorflow is to ____ while PyTorch is to ____",
"answerOptions": [
{
"answerText": "Facebook, Google",
"isCorrect": false
},
{
"answerText": "Google, Facebook",
"isCorrect": true
},
{
"answerText": "Microsoft, Google",
"isCorrect": false
}
]
},
{
"questionText": "Pred is the values predicted by the network",
"answerOptions": [
{
"answerText": "True",
"isCorrect": true
},
{
"answerText": "False",
"isCorrect": false
}
]
}
]
}
]
}
]

0
etc/quiz-src/questions.txt → etc/quiz-src/questions-en.txt
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6
etc/quiz-src/qzmkjson.py
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@ -1,5 +1,5 @@
src = 'questions.txt'
dst_dir = '../quiz-app/src/assets/translations/zz'
src = 'questions-en.txt'
dst_dir = '../quiz-app/src/assets/translations/en'
import json,os
from copy import deepcopy
@ -50,8 +50,6 @@ for k,v in lessons.items():
lesson_content[no] = deepcopy(doc)
lesson_content[no][0]['quizzes'].append(v)
print(lesson_content[1])
with open(os.path.join(dst_dir,'index.js'),'w',encoding='utf-8') as f:
for i,k in enumerate(lesson_content.keys()):
f.write(f'import x{k} from "./lesson-{k}.json";\n')