from data_load_utils import *
from data_loader import *
from NN.CNN import *
loader = data_loader('train_samples.pkl', from_chunk=False)
X, Y = loader.load_samples(num_elements=8)
model = CNN(batch_size=8)
for i in range(1000):
loss, acc = model.train_on_batch(X, Y, 0.01)
if i + 1 % 10:
print "epoch %d, accuracy %.4f, loss %.4f" % (i + 1, acc, loss)
from data_load_utils import *
from data_loader import *
from NN.CNN import *
loader = data_loader('train_samples.pkl',from_chunk=False)
X,Y = loader.load_samples(num_elements=8)
model = CNN(batch_size = 8)
for i in range(1000):
loss, acc = model.train_on_batch(X,Y,0.01)
if i+1 % 10:
print "epoch %d, accuracy %.4f, loss %.4f"%(i+1,acc,loss)
