In the Statefarm competition notebook, I compile the first model and run it like so:

```
def conv1(batches):
model = Sequential([
BatchNormalization(axis=1, input_shape=(3,224,224)),
Convolution2D(32,3,3, activation='relu'),
BatchNormalization(axis=1),
MaxPooling2D((3,3)),
Convolution2D(64,3,3, activation='relu'),
BatchNormalization(axis=1),
MaxPooling2D((3,3)),
Flatten(),
Dense(200, activation='relu'),
BatchNormalization(),
Dense(10, activation='softmax')
])
model.compile(Adam(lr=1e-4), loss='categorical_crossentropy', metrics=['accuracy'])
model.fit_generator(batches, batches.nb_sample, nb_epoch=2, validation_data=val_batches,
nb_val_samples=val_batches.nb_sample)
model.optimizer.lr = 0.001
model.fit_generator(batches, batches.nb_sample, nb_epoch=4, validation_data=val_batches,
nb_val_samples=val_batches.nb_sample)
return model
```

`model = conv1(batches)`

I get the following error:

ERROR (theano.gof.cmodule): [Errno 12] Cannot allocate memory

This problem persists even if I restart the notebook and do garbage collection.

I can examine memory usage like so:

```
import psutil
def mem_usage():
process = psutil.Process(os.getpid())
return process.memory_info().rss/1e9
mem_usage()
```

And I get: 48.7248445, but have no sense of whether this is a lot or a little. I’m running a standard p2.xlarge instance. Has anybody else had this problem? What is the easiest way to fix it?