diff --git a/CMakeLists.txt b/CMakeLists.txt
index ef7643cd..474d253b 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -6,7 +6,7 @@ list(APPEND CMAKE_MODULE_PATH "${FDEEP_TOP_DIR}/cmake")
 
 include(cmake/hunter.cmake) # default off
 
-project(frugally-deep VERSION 0.7.0)
+project(frugally-deep VERSION 0.7.1)
 
 message(STATUS "===( ${PROJECT_NAME} ${PROJECT_VERSION} )===")
 
diff --git a/INSTALL.md b/INSTALL.md
index a21d3b0e..28ceefe3 100644
--- a/INSTALL.md
+++ b/INSTALL.md
@@ -71,7 +71,7 @@ Just add a *conanfile.txt* with frugally-deep as a requirement and chose the gen
 
 ```
 [requires]
-frugally-deep/v0.7.0-p0@dobiasd/stable
+frugally-deep/v0.7.1-p0@dobiasd/stable
 
 [generators]
 cmake
diff --git a/README.md b/README.md
index 46fcea0e..16d47a57 100644
--- a/README.md
+++ b/README.md
@@ -45,7 +45,7 @@ Layer types typically used in image recognition/generation are supported, making
 
 * `Add`, `Concatenate`, `Subtract`, `Multiply`, `Average`, `Maximum`
 * `AveragePooling1D/2D`, `GlobalAveragePooling1D/2D`
-* `Bidirectional`, `LSTM`, `TimeDistributed`
+* `Bidirectional`, `Embedding`, `GRU`, `LSTM`, `TimeDistributed`
 * `Conv1D/2D`, `SeparableConv2D`
 * `Cropping1D/2D`, `ZeroPadding1D/2D`
 * `BatchNormalization`, `Dense`, `Dropout`, `Flatten`
@@ -78,10 +78,8 @@ Layer types typically used in image recognition/generation are supported, making
 `Cropping3D`,
 `DepthwiseConv2D`,
 `Dot`,
-`Embedding`,
 `GaussianDropout`,
 `GaussianNoise`,
-`GRU`,
 `GRUCell`,
 `Lambda`,
 `LocallyConnected1D`,