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dmesquita/tensorflow.py

Last active October 24, 2017 18:51
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Big Picture Deep Learning with Pytorch
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tensorflow.py
def multilayer_perceptron(input_tensor, weights, biases):
layer_1_multiplication = tf.matmul(input_tensor, weights['h1'])
layer_1_addition = tf.add(layer_1_multiplication, biases['b1'])
layer_1_activation = tf.nn.relu(layer_1_addition)
layer_2_multiplication = tf.matmul(layer_1_activation, weights['h2'])
layer_2_addition = tf.add(layer_2_multiplication, biases['b2'])
layer_2_activation = tf.nn.relu(layer_2_addition)
out_layer_multiplication = tf.matmul(layer_2_activation, weights['out'])
out_layer_addition = out_layer_multiplication + biases['out']
return out_layer_addition
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