使用mnist数据搭建tensorflow神经网络 - notes

plt.figure(figsize=(16, 8), dpi=80)
displayX = X[5:10].reshape(5,28,28)
for ind in range(len(displayX)):
    axes = plt.subplot(2,3,ind+1)
    pic = displayX[ind]
    for rowInd in range(len(pic)):
        oneRow = pic[rowInd]
        for eachPixelInd in range(len(oneRow)):
            value = oneRow[eachPixelInd]
            plt.plot(eachPixelInd,rowInd,marker=‘*‘,c=(value,value,value))
plt.show()