-
+ |
[Linear](https://serket.readthedocs.io/en/latest/API/linear.html)
|
-
+ |
-- `Linear`, `Multilinear`, `GeneralLinear`, `Identity`, `FNN`, `MLP`, `Embedding`
+- `Linear`, `Multilinear`, `GeneralLinear`
+- `Identity`
+- `FNN`, `MLP`
+- `Embedding`
|
-
+ |
[Convolution](https://serket.readthedocs.io/en/latest/API/convolution.html)
|
-
+ |
- `{Conv,FFTConv}{1D,2D,3D}`
- `{Conv,FFTConv}{1D,2D,3D}Transpose`
@@ -120,13 +123,13 @@ net = sk.tree_unmask(net)
|
-
+ |
[Containers](https://serket.readthedocs.io/en/latest/API/containers.html)
|
-
+ |
- `Sequential`, `RandomApply`
|
@@ -135,13 +138,13 @@ net = sk.tree_unmask(net)
-
+ |
[Pooling](https://serket.readthedocs.io/en/latest/API/pooling.html)
|
-
+ |
- `{Avg,Max,LP}Pool{1D,2D,3D}`
- `Global{Avg,Max}Pool{1D,2D,3D}`
@@ -153,13 +156,13 @@ net = sk.tree_unmask(net)
|
-
+ |
[Reshaping](https://serket.readthedocs.io/en/latest/API/reshaping.html)
|
-
+ |
- `Flatten`, `Unflatten`
- `Repeat{1D,2D,3D}`
@@ -175,13 +178,13 @@ net = sk.tree_unmask(net)
|
-
+ |
[Normalization](https://serket.readthedocs.io/en/latest/API/normalization.html)
|
-
+ |
- `{Layer,Instance,Group,Batch}Norm`
@@ -191,13 +194,13 @@ net = sk.tree_unmask(net)
|
-
+ |
[Image](https://serket.readthedocs.io/en/latest/API/image.html#)
|
-
+ |
- `{Avg,Gaussian}Blur2D`
- `{Filter,FFTFilter}2D`
@@ -211,13 +214,13 @@ net = sk.tree_unmask(net)
|
-
+ |
[Dropout](https://serket.readthedocs.io/en/latest/API/dropout.html)
|
-
+ |
- `Dropout`
- `Dropout{1D,2D,3D}`
@@ -229,13 +232,13 @@ net = sk.tree_unmask(net)
|
-
+ |
[Activations](https://serket.readthedocs.io/en/latest/API/activations.html)
|
-
+ |
- `Adaptive{LeakyReLU,ReLU,Sigmoid,Tanh}`
- `CeLU`,`ELU`,`GELU`,`GLU`
@@ -251,13 +254,13 @@ net = sk.tree_unmask(net)
|
-
+ |
[Recurrent](https://serket.readthedocs.io/en/latest/API/recurrent.html)
|
-
+ |
- `{Dense,SimpleRNN,LSTM,GRU}Cell`
- `{Conv,FFTConv}{LSTM,GRU}{1D,2D,3D}Cell`
@@ -269,7 +272,8 @@ net = sk.tree_unmask(net)
|
-#### Other features:
+