February 2018
Intermediate to advanced
218 pages
5h 31m
English
Content preview from Practical Convolutional Neural Networks
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Step 5 – Preparing the TensorFlow graph
We now create the placeholders for the TensorFlow graph:
x = tf.placeholder(tf.float32, shape=[None, img_size_flat], name='x') x_image = tf.reshape(x, [-1, img_size, img_size, num_channels]) y_true = tf.placeholder(tf.float32, shape=[None, num_classes], name='y_true') y_true_cls = tf.argmax(y_true, axis=1)
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