Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -17,11 +17,14 @@ selected_option = st.selectbox('Choose an option:', options)
|
|
| 17 |
conv_layers = [layer for layer in model.layers if isinstance(layer, Conv2D)]
|
| 18 |
|
| 19 |
fig = plt.figure(figsize=(12, 4))
|
|
|
|
|
|
|
|
|
|
| 20 |
scaler = MinMaxScaler()
|
| 21 |
|
| 22 |
# for i in range(3):
|
| 23 |
for j in range(6):
|
| 24 |
-
layer=conv_layers[
|
| 25 |
weights=layer.get_weights()[0][:,:,0,j]
|
| 26 |
norm_weights = scaler.fit_transform(weights)
|
| 27 |
plt.subplot(2,3,j+1)
|
|
|
|
| 17 |
conv_layers = [layer for layer in model.layers if isinstance(layer, Conv2D)]
|
| 18 |
|
| 19 |
fig = plt.figure(figsize=(12, 4))
|
| 20 |
+
|
| 21 |
+
layer_ind = options.index(selected_option)
|
| 22 |
+
# selected_layer = conv_layers[layer_ind]
|
| 23 |
scaler = MinMaxScaler()
|
| 24 |
|
| 25 |
# for i in range(3):
|
| 26 |
for j in range(6):
|
| 27 |
+
layer=conv_layers[layer_ind]
|
| 28 |
weights=layer.get_weights()[0][:,:,0,j]
|
| 29 |
norm_weights = scaler.fit_transform(weights)
|
| 30 |
plt.subplot(2,3,j+1)
|