nad2000 · July 4, 2016 06:54 · nad2000 · Feb 26, 2021 · kasidkhansbp · Feb 26, 2021
diff --git a/softmax.py b/softmax.py
 """Softmax."""

 scores = [3.0, 1.0, 0.2]

 import numpy as np

 def softmax(x):
    """Compute softmax values for each sets of scores in x."""
    exp_x = np.exp(x)
    return exp_x / exp_x.sum(axis=0)

 print(softmax(scores))

 # Plot softmax curves
 import matplotlib.pyplot as plt
 x = np.arange(-2.0, 6.0, 0.1)
 scores = np.vstack([x, np.ones_like(x), 0.2 * np.ones_like(x)])

 plt.plot(x, softmax(scores).T, linewidth=2)
 plt.show()
	"""Softmax."""

	scores = [3.0, 1.0, 0.2]

	import numpy as np

	def softmax(x):
	"""Compute softmax values for each sets of scores in x."""
	exp_x = np.exp(x)
	return exp_x / exp_x.sum(axis=0)

	print(softmax(scores))

	# Plot softmax curves
	import matplotlib.pyplot as plt
	x = np.arange(-2.0, 6.0, 0.1)
	scores = np.vstack([x, np.ones_like(x), 0.2 * np.ones_like(x)])

	plt.plot(x, softmax(scores).T, linewidth=2)
	plt.show()