rbm2 = RBM(n_hidden=n_hidden2,
n_visible=n_hidden1,
alpha=0.0001,
datatype="binary")
rbm3 = RBM(n_hidden=n_hidden3,
n_visible=n_hidden2,
alpha=0.0001,
datatype="binary")
# rbm4 = RBM(n_hidden=n_hidden4, n_visible=n_hidden3, alpha=0.0001, datatype="binary")
for num in range(Epoch):
new_w, new_hb, new_vb, ReconErr = rbm1.train(MA_data)
print("Epoch: {}, Reconstruction Error: {}".format(num, ReconErr))
for num in range(Epoch):
batch_xs = rbm1.passThrough(MA_data)
new_w, new_hb, new_vb, ReconErr = rbm2.train(batch_xs)
print("Epoch: {}, Reconstruction Error: {}".format(num, ReconErr))
for num in range(Epoch):
batch_xs = rbm1.passThrough(MA_data)
batch_xs1 = rbm2.passThrough(batch_xs)
new_w, new_hb, new_vb, ReconErr = rbm3.train(batch_xs1)
print("Epoch: {}, Reconstruction Error: {}".format(num, ReconErr))
temp1 = rbm1.passThrough(MA_data)
temp2 = rbm2.passThrough(temp1)
temp3 = rbm3.inference(temp2)
temp4 = rbm2.passBack(temp3)
REC = rbm1.passBack(temp4)
