A Top Down Approach to Machine Learning: +Bonus Hands-On Tutorial by Marty Jacobs

Author:Marty Jacobs [Jacobs, Marty]
Language: eng
Format: azw3
Published: 2017-10-25T04:00:00+00:00

def show_grid_3x3(images):

"""

Display a 3x3 grid of 9 randomly sampled numpy array images.

: images: A batch of image data. Numpy array with shape (batch_size, 28, 28, 1)

"""

plt.rcParams['figure.figsize'] = 6, 6

fig, axes = plt.subplots(nrows=3, ncols=3, sharex=True, sharey=True)

rand_idx = np.random.choice(images.shape[0], 9, replace=False) # get 5 random indices

images = images[rand_idx]

for i in range(3):

for j in range(3):

axes[i, j].imshow(images[i + 3*j].reshape((28, 28)), cmap='gray')

plt.tight_layout()

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