This commit is contained in:
fchollet 2015-06-16 22:53:13 -07:00
commit 702e9d3bec

@ -1,4 +1,18 @@
## Convolution1D
```python
keras.layers.convolutional.Convolution1D(nb_filter, stack_size, filter_length,
init='uniform', activation='linear', weights=None,
image_shape=None, border_mode='valid', subsample_length=1,
W_regularizer=None, b_regularizer=None, W_constraint=None,
b_constraint=None)
```
Convolution operator for filtering neighborhoods of one-dimensional inputs.
---
## Convolution2D
```python
@ -7,10 +21,17 @@ keras.layers.convolutional.Convolution2D(nb_filter, stack_size, nb_row, nb_col,
image_shape=None, border_mode='valid', subsample=(1,1))
```
This is a wrapper for Theano's [conv2d](http://deeplearning.net/software/theano/library/tensor/nnet/conv.html#theano.tensor.nnet.conv.conv2d).
Convolution operator for filtering windows of two-dimensional inputs. This is a wrapper for Theano's [conv2d](http://deeplearning.net/software/theano/library/tensor/nnet/conv.html#theano.tensor.nnet.conv.conv2d).
---
## MaxPooling1D
```python
keras.layers.convolutional.MaxPooling1D(pool_length=2, ignore_border=True)
```
---
## MaxPooling2D
```python