
*解碼運算子,會自動將args分別依序指派給create_circle的輸入引數名稱x, y, 和 radius


yolov10論文 This type of layer normalizes each channel across a mini-batch.
This can be useful in reducing sensitivity to variations within the data.
(4) layer = reluLayer(Name="relu_1")
Rectified linear unit (ReLU) layer
(5) layer = additionLayer(numInputs)
creates an addition layer with the
number of inputs specified by numInputs. This layer takes multiple
inputs and adds them element-wise
(6) layer = fullyConnectedLayer(outputSize)
creates a fully connected layer.
outputSize specifies the size of the output for the layer.
A fully connected layer will multiply the input by a matrix and then add
a bias vector.
(7) layer = softmaxLayer()
creates a softmax layer.
This layer is useful for classification problems.
下列圖片為MATLAB Deep Learning手冊中擷取一張關於準確率與相對預估GPU時間,
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