Created
July 30, 2018 05:57
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X=tf.placeholder(tf.float32,shape=[None,num_inputs]) | |
initializer=tf.variance_scaling_initializer() | |
w1=tf.Variable(initializer([num_inputs,num_hid1]),dtype=tf.float32) | |
w2=tf.Variable(initializer([num_hid1,num_hid2]),dtype=tf.float32) | |
w3=tf.Variable(initializer([num_hid2,num_hid3]),dtype=tf.float32) | |
w4=tf.Variable(initializer([num_hid3,num_output]),dtype=tf.float32) | |
b1=tf.Variable(tf.zeros(num_hid1)) | |
b2=tf.Variable(tf.zeros(num_hid2)) | |
b3=tf.Variable(tf.zeros(num_hid3)) | |
b4=tf.Variable(tf.zeros(num_output)) | |
hid_layer1=actf(tf.matmul(X,w1)+b1) | |
hid_layer2=actf(tf.matmul(hid_layer1,w2)+b2) | |
hid_layer3=actf(tf.matmul(hid_layer2,w3)+b3) | |
output_layer=actf(tf.matmul(hid_layer3,w4)+b4) |
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