Flashcards
Deep learning exam 1
Flashcards do conjunto (10)
- 1the primary goal of machine learning is to enable computers to learn form data and improve their performance over timetrue
- 2In which of the following scenarios would applying machine leaning be most appropriate 1. counting the number of words in a text document 2. converting a grayscale image to colored image 3. determining the total sales of a retail store for the past year 4. calculating the average temperature in a city for the last month 5. identifying fraudulent credit card transactions from a large dataset5. identifying fraudulent credit card transactions from a large dataset
- 3which of the following statements accurately describe the relationship between machine learning, neural networks, and deep learning? 1. neural networks are a branch of mathematics unrelated to machine learning of deep learning 2. deep learning is a subset of neural networks, which are a subset of machine learning 3. deep learning is a more advanced version of machine learning, while neural networks are used exclusively for image processing 4. machine learning and deep learning are terms used interchangeably to describe the same concept2. deep learning is a subset of neural networks, which are a subset of machine learning
- 4arrange the following neural network concepts in chronological order based on their historical development perceptron adaline backpropagation/multi-layered NN deep leaningperceptron
adaline
backpropagation/multi-layered NN
deep leaning - 5review quiz 2sad
- 6alex received a data set with two classes. He plotted the data samples in the plot below. He plotted the data samples of each class with different markers and colors as indicated in the legend of his plot. next, he trained a classifier to separate the data samples of class A from class B. the classifier is shown with the white dashed line. Above the line is class B. How many data samples are there in Alex's dataset6
- 7refer to the previous question. How many attributes(features) are in Alex's dataset2
- 8refer to the previous question. What is the classification accuracy of Alex's classifier66.67
- 9Based on the concepts learned during lectures, match the tasks on the left-hand side to the most appropriated machine-learning terminology 1. Detecting Alzheimer's disease patients from their cognitive performance 2. segmenting brain tumor form brain MRI images. 3. Emotion detection from voice. 4. predicting house prices according to their footage and neighborhood. 5. developing a ML model to recommend, sell, or buy stocks. 6. movie recommender system. 7.salary prediction of FAU computer science students.1. Detecting Alzheimer's disease patients from their cognitive performance: supervised
2. segmenting brain tumor form brain MRI images: unsupervised
3. Emotion detection from voice: supervised
4. predicting house prices according to their footage and neighborhood: regression
5. developing a ML model to recommend, sell, or buy stocks: supervised
6. movie recommender system: unsupervised
7.salary prediction of FAU computer science students: regression - 10—
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- Computer Science FlashCards sobre Deep learning exam 1, criado por lauren hall em 21-06-2024.
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- lauren hall
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