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11.1. 优化和深度学习? Open the notebook in Colab Open the notebook in Colab Open the notebook in Colab
发布时间:2024-06-10 05:50:54 点击量:
x, y = np.meshgrid(
np.linspace(-1.0, 1.0, 101), np.linspace(-1.0, 1.0, 101))
z = x**2 - y**2
ax = d2l.plt.figure().add_subplot(111, projection='3d')
ax.plot_wireframe(x.asnumpy(), y.asnumpy(), z.asnumpy(),
**{'rstride': 10, 'cstride': 10})
ax.plot([0], [0], [0], 'rx')
ticks = [-1, 0, 1]
d2l.plt.xticks(ticks)
d2l.plt.yticks(ticks)
ax.set_zticks(ticks)
d2l.plt.xlabel('x')
d2l.plt.ylabel('y');
x, y = torch.meshgrid(
torch.linspace(-1.0, 1.0, 101), torch.linspace(-1.0, 1.0, 101))
z = x**2 - y**2
ax = d2l.plt.figure().add_subplot(111, projection='3d')
ax.plot_wireframe(x, y, z, **{'rstride': 10, 'cstride': 10})
ax.plot([0], [0], [0], 'rx')
ticks = [-1, 0, 1]
d2l.plt.xticks(ticks)
d2l.plt.yticks(ticks)
ax.set_zticks(ticks)
d2l.plt.xlabel('x')
d2l.plt.ylabel('y');
x, y = tf.meshgrid(
tf.linspace(-1.0, 1.0, 101), tf.linspace(-1.0, 1.0, 101))
z = x**2 - y**2
ax = d2l.plt.figure().add_subplot(111, projection='3d')
ax.plot_wireframe(x, y, z, **{'rstride': 10, 'cstride': 10})
ax.plot([0], [0], [0], 'rx')
ticks = [-1, 0, 1]
d2l.plt.xticks(ticks)
d2l.plt.yticks(ticks)
ax.set_zticks(ticks)
d2l.plt.xlabel('x')
d2l.plt.ylabel('y');
x, y = paddle.meshgrid(
paddle.linspace(-1.0, 1.0, 101), paddle.linspace(-1.0, 1.0, 101))
z = x**2 - y**2
ax = d2l.plt.figure().add_subplot(111, projection='3d')
ax.plot_wireframe(x, y, z, **{'rstride': 10, 'cstride': 10})
ax.plot([0], [0], [0], 'rx')
ticks = [-1, 0, 1]
d2l.plt.xticks(ticks)
d2l.plt.yticks(ticks)
ax.set_zticks(ticks)
d2l.plt.xlabel('x')
d2l.plt.ylabel('y');