一、產(chǎn)生X樣本

x_train = np.random.random((5, 3)) 隨機(jī)產(chǎn)生一個(gè)5行3列的樣本矩陣，也就是5個(gè)維度為3的訓(xùn)練樣本。

array([[ 0.56644011, 0.75185718, 0.98654195],

[ 0.46676905, 0.2452094 , 0.28035157],

[ 0.69687126, 0.85162556, 0.23118269],

[ 0.69127369, 0.32235362, 0.90172209],

[ 0.64421882, 0.65666665, 0.37091807]])

二、產(chǎn)生Y樣本

y_train = np.random.randint(10, size=(20, 1)) 產(chǎn)生一個(gè)20行1列的Y樣本，值分布為10個(gè)，也就是0~9。也就是20個(gè)多類別樣本標(biāo)簽。

array([[8],

[8],

[0],

[4],

[9],

[9],

[7],

[3],

[0],

[9],

[0],

[2],

[1],

[0],

[3],

[4],

[6],

[8],

[9],

[7]])

三、產(chǎn)生2D卷積X樣本x_train = np.random.random((4,2,5, 3))產(chǎn)生4個(gè)卷積樣本，每個(gè)樣本兩層，沒(méi)層矩陣是5X3結(jié)構(gòu)。

array([[[[ 0.81108075, 0.75130404, 0.32276459],

[ 0.84803225, 0.95347097, 0.98392204],

[ 0.82862565, 0.60562112, 0.12725719],

[ 0.66517274, 0.80061288, 0.56373024],

[ 0.33360791, 0.15615631, 0.01854572]],

[[ 0.95840439, 0.62069117, 0.98154442],

[ 0.22812983, 0.83663549, 0.79360161],

[ 0.40764592, 0.1903219 , 0.75269041],

[ 0.89337384, 0.48268712, 0.98336301],

[ 0.00515764, 0.41898271, 0.17870325]]],

[[[ 0.16303286, 0.30437622, 0.80772764],

[ 0.99838344, 0.78417382, 0.52251551],

[ 0.81561737, 0.20268081, 0.15342787],

[ 0.77666367, 0.26014027, 0.01359609],

[ 0.76491115, 0.23499911, 0.75797289]],

[[ 0.0221104 , 0.92696779, 0.16339887],

[ 0.93589062, 0.64230156, 0.54570248],

[ 0.01895301, 0.23444549, 0.03577822],

[ 0.06956943, 0.05085453, 0.58532944],

[ 0.01029333, 0.99890575, 0.22400419]]],

[[[ 0.33587317, 0.38829797, 0.76169893],

[ 0.8067067 , 0.29012318, 0.01406736],

[ 0.99158238, 0.60665312, 0.52777604],

[ 0.06333543, 0.9294594 , 0.0571626 ],

[ 0.02463482, 0.9234842 , 0.68864325]],

[[ 0.23725655, 0.8793853 , 0.49002114],

[ 0.86578146, 0.93386534, 0.48375739],

[ 0.5304713 , 0.44797753, 0.79250569],

[ 0.92835088, 0.17855765, 0.27783737],

[ 0.17801198, 0.2095321 , 0.64932004]]],

[[[ 0.35564935, 0.98168517, 0.75135149],

[ 0.79403744, 0.06994751, 0.95484361],

[ 0.14493514, 0.11813182, 0.61482502],

[ 0.5031048 , 0.91276372, 0.2315978 ],

[ 0.57193754, 0.20402079, 0.75060145]],

[[ 0.0099759 , 0.37148569, 0.89472595],

[ 0.91443219, 0.17405477, 0.78021433],

[ 0.84789989, 0.34975548, 0.85220165],

[ 0.85179668, 0.04264071, 0.36531178],

[ 0.72911524, 0.85494955, 0.60118721]]]])

四、產(chǎn)生2D卷積Y樣本

y_train = np.random.randint(10, size=(20, 1)) y樣本不變，同上

總結(jié)

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