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Fix some typos. #1

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2 changes: 1 addition & 1 deletion capsLayer.py
Original file line number Diff line number Diff line change
Expand Up @@ -81,7 +81,7 @@ def capsule(input, b_IJ, idx_j):
Notes:
u_i represents the vector output of capsule i in the layer l, and
v_j the vector output of capsule j in the layer l+1.
'''
'''

with tf.variable_scope('routing'):
w_initializer = np.random.normal(size=[1, 1152, 8, 16], scale=0.01)
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2 changes: 1 addition & 1 deletion capsNet.py
Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,7 @@ def build_arch(self):
assert conv1.get_shape() == [cfg.batch_size, 20, 20, 256]

# TODO: Rewrite the 'CapsConv' class as a function, the capsLay
# function should be encapsulated into tow function, one like conv2d
# function should be encapsulated into two functions, one like conv2d
# and another is fully_connected in Tensorflow.
# Primary Capsules, [batch_size, 1152, 8, 1]
with tf.variable_scope('PrimaryCaps_layer'):
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