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第一課第三周淺層神經網絡編程作業,兩個文件,親測可用!

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#?-*-?coding:?utf-8?-*-
“““
Created?on?Sun?Apr?15?22:34:06?2018
@author:?StephenGai
“““
import?matplotlib.pyplot?as?plt??
import?numpy?as?np??
import?sklearn??
import?sklearn.datasets??
import?sklearn.linear_model??
??
def?load_planar_dataset():??
????np.random.seed(1)??
????m?=?400??#?number?of?examples??
????N?=?int(m?/?2)??#?number?of?points?per?class??
????D?=?2??#?dimensionality??
????X?=?np.zeros((m?D))??#?data?matrix?where?each?row?is?a?single?example??
????Y?=?np.zeros((m?1)?dtype=‘uint8‘)??#?labels?vector?(0?for?red?1?for?blue)??
????a?=?4??#?maximum?ray?of?the?flower??
??
????for?j?in?range(2):
????????ix?=?range(N?*?j?N?*?(j?+?1))??
????????t?=?np.linspace(j?*?3.12?(j?+?1)?*?3.12?N)?+?np.random.randn(N)?*?0.2??#?theta??
????????r?=?a?*?np.sin(4?*?t)?+?np.random.randn(N)?*?0.2??#?radius??
????????X[ix]?=?np.c_[r?*?np.sin(t)?r?*?np.cos(t)]
????????Y[ix]?=?j??
??
????X?=?X.T??
????Y?=?Y.T??
????return?X?Y??
def?plot_decision_boundary(model?X?y):??
????#?Set?min?and?max?values?and?give?it?some?padding??
????x_min?x_max?=?X[0?:].min()?-?1?X[0?:].max()?+?1??
????y_min?y_max?=?X[1?:].min()?-?1?X[1?:].max()?+?1??
????h?=?0.01??
????#?Generate?a?grid?of?points?with?distance?h?between?them??
????xx?yy?=?np.meshgrid(np.arange(x_min?x_max?h)?np.arange(y_min?y_max?h))??
????#?Predict?the?function?value?for?the?whole?grid??
????Z?=?model(np.c_[xx.ravel()?yy.ravel()])
????Z?=?Z.reshape(xx.shape)??
????#?Plot?the?contour?and?training?examples??
????plt.contourf(xx?yy?Z?cmap=plt.cm.Spectral)
????plt.ylabel(‘x2‘)??
????plt.xlabel(‘x1‘)??
????plt.scatter(X[0?:]?X[1?:]?c=y[0?:]?cmap=plt.cm.Spectral)??
??
def?sigmoid(x):??
????“““?
????Compute?the?sigmoid?of?x?
?
????Arguments:?
????x?--?A?scalar?or?numpy?array?of?any?size.?
?
????Return:?
????s?--?sigmoid(x)?
????“““??
????s?=?1?/?(1?+?np.exp(-x))??
????return?s??
???
def?load_extra_datasets():??
????N?=?200??
????noisy_circles?=?sklearn.datasets.make_circles(n_samples=N?factor=.5?noise=.3)??
????noisy_moons?=?sklearn.datasets.make_moons(n_samples=N?noise=.2)??
????blobs?=?sklearn.datasets.make_blobs(n_samples=N?random_state=5?n_features=2?centers=6)??
????gaussian_quantiles?=?sklearn.datasets.make_gaussian_quantiles(mean=None?cov=0.5?n_samples=N?n_features=2?n_classes=2?shuffle=True?random_state=None)??
????no_structure?=?np.random.rand(N?2)?np.random.rand(N?2)??
??
????return?noisy_circles?noisy_moons?blobs?gaussian_quantiles?no_structure??
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件????????4767??2018-04-17?12:12??testCases_v2.py
?????文件????????2551??2018-04-17?20:38??planar_utils.py
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