Compare commits
12 Commits
Author | SHA1 | Date | |
---|---|---|---|
![]() |
0c9b036e71 | ||
![]() |
6aa44b4f1f | ||
![]() |
db04de4f72 | ||
![]() |
76eeb6441d | ||
![]() |
29bb7c65da | ||
![]() |
5e5bf9d7d9 | ||
![]() |
46307610bc | ||
![]() |
9bd65713fe | ||
![]() |
9ce36c2d0e | ||
![]() |
4d5ef0e536 | ||
![]() |
6c90c3d739 | ||
![]() |
0c9fb6efb9 |
@ -1,2 +1,8 @@
|
||||
# bannana-networks
|
||||
#self-replicating-neural-networks
|
||||
---
|
||||
|
||||
This is the code repo for the paper Self-Replicating Neural Networks, which was never meant to be publicly available, so there is no further description at this time.
|
||||
|
||||
Do not hesitate to ask the authors for assitance: {thomas.gabor, steffen.illium, maximilian.zorn} (at) ifi.lmu.de
|
||||
|
||||
Greetings!
|
||||
|
@ -1,9 +1,9 @@
|
||||
import numpy as np
|
||||
|
||||
from keras.models import Sequential
|
||||
from keras.callbacks import Callback
|
||||
from keras.layers import SimpleRNN, Dense
|
||||
import keras.backend as K
|
||||
from tensorflow.python.keras.models import Sequential
|
||||
from tensorflow.python.keras.callbacks import Callback
|
||||
from tensorflow.python.keras.layers import SimpleRNN, Dense
|
||||
from tensorflow.python.keras import backend as K
|
||||
|
||||
from util import *
|
||||
from experiment import *
|
||||
|
Loading…
x
Reference in New Issue
Block a user