SQUEEZENET:AlexNet-level Accuracy with 50X fewer parameters and 0.5MB model size 这是由UC Berkerley和Stanford研究人员一起完成的Squeezenet网络结构和设计思想。SqueezeNet设计目标是在保持精度(Alexnet)的情况下简化网络的复杂度。 1、设计原则: 尽量选择1*1卷积核来代替3*3卷积核,因为1*1的卷积核比3*3的卷积...
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345 345 " x1, x2 = np.meshgrid(np.linspace(axes[0], axes[1], 100),\n", @@ -480,7 +480,7 @@ 480 480 "metadata": {}, 481 481 "outputs": [], 482 482 "source": [ 483 - "# not in the book – this cell generates and saves Figure 5–5\n", 483 + "# not...