fashion-mnist-samples.py

# Sample 1

# Get 28x28 image
sample_1 = fashion_mnist.train.images[47].reshape(28,28)
# Get corresponding integer label from one-hot encoded data
sample_label_1 = np.where(fashion_mnist.train.labels[47] == 1)[0][0]
# Plot sample
print("y = {label_index} ({label})".format(label_index=sample_label_1, label=label_dict[sample_label_1]))
plt.imshow(sample_1, cmap='Greys')

# Sample 2

# Get 28x28 image
sample_2 = fashion_mnist.train.images[23].reshape(28,28)
# Get corresponding integer label from one-hot encoded data
sample_label_2 = np.where(fashion_mnist.train.labels[23] == 1)[0][0]
# Plot sample
print("y = {label_index} ({label})".format(label_index=sample_label_2, label=label_dict[sample_label_2]))
plt.imshow(sample_2, cmap='Greys')

---

KeyError Traceback (most recent call last)
in ()
8
9 # Plot sample
---> 10 print("y = {label_index} ({label})".format(label_index=sample_label_1, label=label_dict[sample_label_1]))
11 plt.imshow(sample_1, cmap='Greys')
12

KeyError: 4