Hello,
I am trying to set up a recurrent neural network with multiple layers as
follows -
inputs = T.tensor3(name='inputs')
targets = T.dvector(name='targets')
# Input layer
l_in = lasagne.layers.InputLayer(([1,1,NUM_SENSORS]),inputs)
# recurrent layer
initRec1Weights =
lasagne.utils.create_param(np.eye(NUM_HIDDEN_UNITS)*4.+np.random.rand(NUM_HIDDEN_UN$
[NUM_HIDDEN_UNITS,NUM_HIDDEN_UNITS])
initRec2Weights =
lasagne.utils.create_param(np.eye(NUM_HIDDEN_UNITS)*4.+np.random.rand(NUM_HIDDEN_UN$
[NUM_HIDDEN_UNITS,NUM_HIDDEN_UNITS])
initRec3Weights =
lasagne.utils.create_param(np.eye(NUM_HIDDEN_UNITS)*4.+np.random.rand(NUM_HIDDEN_UN$
[NUM_HIDDEN_UNITS,NUM_HIDDEN_UNITS])
l_r1 = lasagne.layers.RecurrentLayer(l_in, NUM_HIDDEN_UNITS,
W_in_to_hid=lasagne.init.Uniform(range=2,std=None,mean=0.),
W_hid_to_hid=initRec1Weights,#lasagne.init.Constant(4.),
b=lasagne.init.Constant(0.),
nonlinearity=lasagne.nonlinearities.sigmoid,
gradient_steps=20) # number of steps for BPTT to unroll network
l_r2 = lasagne.layers.RecurrentLayer(l_r1, NUM_HIDDEN_UNITS,
W_in_to_hid=lasagne.init.Uniform(range=2,std=None,mean=0.),
W_hid_to_hid=initRec2Weights,#lasagne.init.Constant(4.),
b=lasagne.init.Constant(0.),
nonlinearity=lasagne.nonlinearities.sigmoid,
gradient_steps=BPTT_STEPS) # number of steps for BPTT to unroll network
l_r3 = lasagne.layers.RecurrentLayer(l_r2, NUM_HIDDEN_UNITS,
W_in_to_hid=lasagne.init.Uniform(range=2,std=None,mean=0.),
W_hid_to_hid=initRec3Weights,#lasagne.init.Constant(4.),
b=lasagne.init.Constant(0.),
nonlinearity=lasagne.nonlinearities.sigmoid,
gradient_steps=BPTT_STEPS) # number of steps for BPTT to unroll network
# output layer
l_out = lasagne.layers.DenseLayer(l_r3, NUM_OUTPUTS,
W=lasagne.init.Uniform(range=2,std=None,mean=0.),
nonlinearity=lasagne.nonlinearities.sigmoid)
but I am getting the following error -
Traceback (most recent call last):
File "categAgent.py", line 203, in <module>
gradient_steps=20) # number of steps for BPTT to unroll network
File
"/home/madvn/anaconda2/lib/python2.7/site-packages/lasagne/layers/recurrent.py",
line 552, in __init__
in_to_hid = DenseLayer(InputLayer((None,) + input_shape[2:]),
TypeError: can only concatenate tuple (not "list") to tuple
Please help. Thanks
- Madhavun
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