以下哪一個關於人工神經網路的描述是錯誤的？There is always at least one output layer. 一定至少有一個輸出層。In a fully connected layer, all neurons are connected to all the other neurons in the previous layer and those in the next layer. 在全連接層中，所有神經元都會連接到上一層以及下一層中的所有其他神經元。There are always more input layers than hidden layers. 輸入層一定比隱藏層多。Back propagation is an important feature of neural networks: information from the output layer will be fed back to the hidden layers and the input layer to further improve the performance of the model. 反向傳播是神經網路的一個重要特徵：輸出層會將資料反向傳送囘隱藏層和輸入層，從而進一步改善神經網路的表現。

4. Which of the following statements about artificial neural networks is wrong?以下哪一個關於人工神經網路的描述是錯誤的？Back propagation is an important feature of neural networks: information from the output layer will be fed back to the hidden layers and the input layer to further improve the performance of the model. 反向傳播是神經網路的一個重要特徵：輸出層會將資料反向傳送囘隱藏層和輸入層，從而進一步改善神經網路的表現。There is always at least one output layer. 一定至少有一個輸出層。In a fully connected layer, all neurons are connected to all the other neurons in the previous layer and those in the next layer. 在全連接層中，所有神經元都會連接到上一層以及下一層中的所有其他神經元。There are always more input layers than hidden layers. 輸入層一定比隱藏層多。

5. How does a single-layer artificial neural network handle input values it receives?一個單層的人工神經網路如何處理接收到的輸入值？ Multiply with weights → Sum together → Pass to activation function → Output 乘以權重 → 加總 → 傳入激勵函數 → 輸出Pass to activation function → Multiply with weights → Sum together → Output 傳入激勵函數 → 乘以權重 → 加總 → 輸出Sum together → Pass to activation function → Multiply with weights → Output 加總 → 傳入激勵函數 → 乘以權重 → 輸出Multiply with weights → Pass to activation function → Sum together → Output 乘以權重 → 傳入激勵函數→ 加總 → 輸出

What is the hidden layer in the backpropagation algorithm?Select one:a.The layer that is not visible to the user and processes the input datab.The layer that determines the activation function of the neural networkc.The layer that is visible to the user and processes the input datad.The layer that produces the final output of the neural network

What is the hidden layer in the backpropagation algorithm?Question 14Answera.The layer that produces the final output of the neural networkb.The layer that is visible to the user and processes the input datac.The layer that is not visible to the user and processes the input datad.The layer that determines the activation function of the neural network

Which one of the following is First layer of Neural Network?Outer LayerHidden LayerInput LayerUpper LayerNone of above