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1. Artificial Intelligence and Machine Learning 影片練習題 Flashcards | StudBud
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1. Artificial Intelligence and Machine Learning 影片練習題
1. Artificial Intelligence and Machine Learning 影片練習題
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1
Clustering 分群目標必須要考慮那兩項
Maximizing certain probability
Maximize inter-cluster distance
Decision boundary
Minimize intra-cluster distance
2
影片中提到找到activation function的方法?
Trial and error
Analyze the dataset
3
下列那些是supervised方法?
Logistic regression
DBSCAN
K Nearest neighbors
Naive Bayes
4
Autoencoder Input layer number of features ? output layer number of features。請問?要填什麼
>
<
=
≠
5
神經網路設計要注意那些項目
Feature selection
Type of network (e.g. CNN, LSTM)
Depth (number of layers)
Dataset resource
6
深度神經網路的定義?幾層算深
>=2層
>=3層
>=100層
>=50層
7
請選出以下演算法中，為clustering方法的演算法
k-means
Random forest
naive-bayes
k-nearest neighbors
8
1. overfitting是模型複雜度比資料實際複雜度還? 2. underfitting呢?
1. 複雜 2. 簡單
1. 複雜 2. 複雜
1. 簡單 2. 簡單
1. 簡單 2. 複雜
9
下圖的?顯示了模型遇到什麼問題
Overfitting
Underfitting
10
下圖的?顯示了模型遇到什麼問題
Overfitting
Underfitting
11
下列哪種情況需要進行降維
資料維度過低
資料維度過高
有些特徵不重要
