Skip to content

Instantly share code, notes, and snippets.

View aaronpolhamus's full-sized avatar
💭
🤘🤓🤘

Aaron Polhamus aaronpolhamus

💭
🤘🤓🤘
View GitHub Profile
model = Sequential()
model.add(Convolution2D(64, 3, 3, border_mode='valid', input_shape=(1, 128, 128)))
model.add(Activation('relu'))
model.add(Convolution2D(64, 3, 3))
model.add(MaxPooling2D((2,2), strides=(2,2)))
model.add(Activation('relu'))
model.add(Convolution2D(128, 3, 3))
model.add(Activation('relu'))
model.add(Convolution2D(128, 3, 3))
@aaronpolhamus
aaronpolhamus / model.py
Last active March 26, 2016 22:31
Adaptation of VGG-like convnet for custom data from http://keras.io/examples/
import os
import sys
import json
import model_control
from numpy import loadtxt, asarray
from pandas import read_csv
from scipy.ndimage import imread
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Convolution2D, MaxPooling2D