November 2017
Intermediate to advanced
274 pages
6h 16m
English
Content preview from Neural Network Programming with TensorFlow
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Input tensor
Create a placeholder with shape[None, img_size_flat] and reshape it into [-1, img_size, img_size, num_channels]:
x = tf.placeholder(tf.float32, shape=[None, img_size_flat], name='x') x_image = tf.reshape(x, [-1, img_size, img_size, num_channels])
Here, the parameters img_size and num_channels have the following values:
- img_size = 128
- num_channels = 3
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