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anandanand84/inference.py

Created April 24, 2017 16:42
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Prediction of normalized data from tensorflow
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inference.py
#Actaul inference
square_sum = tf.reduce_sum(tf.square(x), axis=1, keep_dims=True)
sqrt = tf.sqrt(square_sum)
inv_sqrt = tf.rsqrt(square_sum)
normalized = tf.multiply(x, inv_sqrt)
infer_pred = BiRNN(normalized, weights, biases)
trend = tf.multiply(infer, sqrt)
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