Update examples

agnez/keras_callbacks.py

@@ -1,6 +1,7 @@
 '''This provides visualization tools for Keras.'''
 from . import grid2d, DeepPref, video_grid
 
+from theano import function
 from keras.callbacks import Callback
 from bokeh.plotting import (cursession, figure, output_server,
                             push, show)
@@ -110,11 +111,11 @@ class Grid2D(BokehCallback):
     def __init__(self, W, num_weights=100, name='experiment',
                  fig_title='grid', url='default',):
         BokehCallback.__init__(self, name, fig_title, url)
-        self.W = W
+        self.W = function([], W)
         self.num_weights = num_weights
 
     def get_image(self):
-        W = self.W.get_value().T
+        W = self.W()
         return grid2d(W[:self.num_weights])
 
 

examples/bokeh_plotting.py

@@ -10,8 +10,6 @@
 from keras.utils import np_utils
 from keras.utils.theano_utils import shared_scalar
 
-from seya.optimizers import ISTA, Adamista
-
 from agnez.keras_callbacks import Grid2D, Plot, PreferedInput
 
 '''
@@ -68,19 +66,14 @@
 model.add(Activation('softmax'))
 
 # rms = RMSprop()
-# opt = ISTA(lr=.001, momentum=.9, lambdav=shared_scalar(.0005),
-#            soft_threshold=True)
-opt = Adamista(lambdav=shared_scalar(.0005))
 opt = Adam()
 model.compile(loss='categorical_crossentropy', optimizer=opt)
 
-'''
-We will visualize the weights of the first layer. Note that Grid2D assumes
-each filter is in a different row, this is why we transpose W.
-'''
+# We will visualize the weights of the first layer. Note that Grid2D assumes
+# each filter is in a different row, this is why we transpose W.
 ex_name = 'keras_example'
 grid = Grid2D(name=ex_name, fig_title="First layer weights", url='default',
-              W=model.layers[0].W) # TODO transpose W by default?
+              W=model.layers[0].W.T) # TODO transpose W by default?
 # think grid2d for hidden layers
 pref = PreferedInput(name=ex_name, fig_title="Second layer preferences",
                      url='default', model=model, layer=3) # Layer 3 is the

requirements.txt

@@ -2,3 +2,5 @@ wheel==0.23.0
 pillow
 numpy
 matplotlib
+seaborn
+theano