INNER CODE UNIT · Python
load_dataset
amanchadha/coursera-deep-learning-specialization · C2 - Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/Week 2/opt_utils.py:252
def load_dataset():
np.random.seed(3)
train_X, train_Y = sklearn.datasets.make_moons(n_samples=300, noise=.2) #300 #0.2
# Visualize the data
plt.scatter(train_X[:, 0], train_X[:, 1], c=train_Y, s=40, cmap=plt.cm.Spectral);
train_X = train_X.T
train_Y = train_Y.reshape((1, train_Y.shape[0]))
return train_X, train_Y