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February 2, 2021 18:25
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Part1 of image classifier
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# importing libraries | |
import numpy as np | |
from tensorflow import keras | |
from keras.datasets import mnist | |
#loading dataset | |
(train_X, train_y), (val_X, val_y) = mnist.load_data() | |
#normalizing the dataset | |
train_X, val_X = train_X/255, val_X/255 | |
# visualizing 9 rndom digits from the dataset | |
for i in range(331,340): | |
plt.subplot(i) | |
a = np.random.randint(0, train_X.shape[0], 1) | |
plt.imshow(train_X[a[0]], cmap = plt.get_cmap('binary')) | |
plt.tight_layout() | |
plt.show() |
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