diff --git a/misc/frugally-deep/Makefile b/misc/frugally-deep/Makefile
index a982a6092fb2..019e11246a1d 100644
--- a/misc/frugally-deep/Makefile
+++ b/misc/frugally-deep/Makefile
@@ -1,36 +1,53 @@
 PORTNAME=	frugally-deep
 DISTVERSIONPREFIX=	v
-DISTVERSION=	0.16.2
+DISTVERSION=	0.19.2
 CATEGORIES=	misc # deep-learning
 
 MAINTAINER=	yuri@FreeBSD.org
 COMMENT=	C++ header-only library to use Keras models in C++ with ease
 WWW=		https://github.com/Dobiasd/frugally-deep
 
 LICENSE=	MIT
 LICENSE_FILE=	${WRKSRC}/LICENSE
 
 HPP_DEPENDS=	functionalplus>0:devel/functionalplus \
 		nlohmann-json>0:devel/nlohmann-json
 BUILD_DEPENDS=	${HPP_DEPENDS}
-RUN_DEPENDS=	${HPP_DEPENDS}
-TEST_DEPENDS=	doctest>0:devel/doctest \
-		${PYTHON_PKGNAMEPREFIX}keras>0:math/py-keras@${PY_FLAVOR}
+RUN_DEPENDS=	${HPP_DEPENDS} \
+		${PYTHON_PKGNAMEPREFIX}keras>0:math/py-keras@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}tensorflow>0:science/py-tensorflow@${PY_FLAVOR}
+TEST_DEPENDS=	doctest>0:devel/doctest
 
 USES=		cmake compiler:c++14-lang eigen:3,build,run python:test
 
 USE_GITHUB=	yes
 GH_ACCOUNT=	Dobiasd
 
 NO_BUILD=	yes
 NO_ARCH=	yes
 
 BINARY_ALIAS=	python3=${PYTHON_CMD}
 
-do-test: # tests are broken because they require tensorflow which is currently not available on FreeBSD
+test-quick: # compiled files/example-* (from README) into executable test-quick
+	@${MKDIR} ${TEST_WRKSRC}/test-quick && \
+		cd ${TEST_WRKSRC}/test-quick && \
+		${ECHO} "Creating Keras model and converting it to frugally-deep format ..." && \
+		${PYTHON_CMD} ${FILESDIR}/example-create-model.py && \
+		${PYTHON_CMD} ${WRKSRC}/keras_export/convert_model.py keras_model.keras fdeep_model.json && \
+		${ECHO} "Compiling example-run.cpp ..." && \
+		${CXX} ${CXXFLAGS} \
+			-I${STAGEDIR}${LOCALBASE}/include \
+			-I${LOCALBASE}/include \
+			-I${LOCALBASE}/include/eigen3 \
+			${FILESDIR}/example-run.cpp \
+			-o test-quick && \
+		${ECHO} "Running test-quick ..." && \
+		./test-quick
+
+do-test: # tests fail to compile, see https://github.com/Dobiasd/frugally-deep/issues/462
 	@cd ${BUILD_WRKSRC} && \
 		${SETENV} ${CONFIGURE_ENV} ${CMAKE_BIN} ${CMAKE_ARGS} -DFDEEP_BUILD_UNITTEST:BOOL=ON ${CMAKE_SOURCE_PATH} && \
 		${SETENV} ${MAKE_ENV} ${MAKE_CMD} ${MAKE_ARGS} ${ALL_TARGET} && \
 		${SETENV} ${MAKE_ENV} ${MAKE_CMD} ${MAKE_ARGS} test
 
 .include <bsd.port.mk>
diff --git a/misc/frugally-deep/distinfo b/misc/frugally-deep/distinfo
index 6a715e07b72f..4daa0d5eaca6 100644
--- a/misc/frugally-deep/distinfo
+++ b/misc/frugally-deep/distinfo
@@ -1,3 +1,3 @@
-TIMESTAMP = 1737681871
-SHA256 (Dobiasd-frugally-deep-v0.16.2_GH0.tar.gz) = b16af09606dcf02359de53b7c47323baaeda9a174e1c87e126c3127c55571971
-SIZE (Dobiasd-frugally-deep-v0.16.2_GH0.tar.gz) = 195509
+TIMESTAMP = 1777392520
+SHA256 (Dobiasd-frugally-deep-v0.19.2_GH0.tar.gz) = b78fc8b59ec2dc745fae514384d1edc8a22f7ba92b6627b771fb5966576624f2
+SIZE (Dobiasd-frugally-deep-v0.19.2_GH0.tar.gz) = 202644
diff --git a/misc/frugally-deep/files/example-create-model.py b/misc/frugally-deep/files/example-create-model.py
new file mode 100644
index 000000000000..b802ed86a725
--- /dev/null
+++ b/misc/frugally-deep/files/example-create-model.py
@@ -0,0 +1,16 @@
+# create_model.py
+import numpy as np
+from keras.layers import Input, Dense
+from keras.models import Model
+
+inputs = Input(shape=(4,))
+x = Dense(5, activation='relu')(inputs)
+predictions = Dense(3, activation='softmax')(x)
+model = Model(inputs=inputs, outputs=predictions)
+model.compile(loss='categorical_crossentropy', optimizer='nadam')
+
+model.fit(
+    np.asarray([[1, 2, 3, 4], [2, 3, 4, 5]]),
+    np.asarray([[1, 0, 0], [0, 0, 1]]), epochs=10)
+
+model.save('keras_model.keras')
diff --git a/misc/frugally-deep/files/example-run.cpp b/misc/frugally-deep/files/example-run.cpp
new file mode 100644
index 000000000000..beb2daaad9eb
--- /dev/null
+++ b/misc/frugally-deep/files/example-run.cpp
@@ -0,0 +1,15 @@
+// from README.md
+
+#include <fdeep/fdeep.hpp>
+
+int main() {
+	try {
+		const auto model = fdeep::load_model("fdeep_model.json");
+		const auto result = model.predict(
+			{fdeep::tensor(fdeep::tensor_shape(static_cast<std::size_t>(4)),
+		std::vector<float>{1, 2, 3, 4})});
+		std::cout << fdeep::show_tensors(result) << std::endl;
+	} catch (std::runtime_error exception) {
+		std::cerr << "Error: " << exception.what() << std::endl;
+	}
+}
diff --git a/misc/frugally-deep/pkg-plist b/misc/frugally-deep/pkg-plist
index 123b3d1a2292..74b12e7f2104 100644
--- a/misc/frugally-deep/pkg-plist
+++ b/misc/frugally-deep/pkg-plist
@@ -1,78 +1,92 @@
 include/fdeep/base64.hpp
 include/fdeep/common.hpp
 include/fdeep/convolution.hpp
 include/fdeep/convolution3d.hpp
 include/fdeep/depthwise_convolution.hpp
 include/fdeep/fdeep.hpp
 include/fdeep/filter.hpp
 include/fdeep/import_model.hpp
 include/fdeep/layers/activation_layer.hpp
 include/fdeep/layers/add_layer.hpp
 include/fdeep/layers/additive_attention_layer.hpp
 include/fdeep/layers/attention_layer.hpp
 include/fdeep/layers/average_layer.hpp
 include/fdeep/layers/average_pooling_3d_layer.hpp
 include/fdeep/layers/batch_normalization_layer.hpp
 include/fdeep/layers/category_encoding_layer.hpp
+include/fdeep/layers/celu_layer.hpp
 include/fdeep/layers/centercrop_layer.hpp
 include/fdeep/layers/concatenate_layer.hpp
 include/fdeep/layers/conv_2d_layer.hpp
+include/fdeep/layers/conv_2d_transpose_layer.hpp
+include/fdeep/layers/conv_3d_layer.hpp
+include/fdeep/layers/conv_3d_transpose_layer.hpp
 include/fdeep/layers/cropping_3d_layer.hpp
 include/fdeep/layers/dense_layer.hpp
 include/fdeep/layers/depthwise_conv_2d_layer.hpp
 include/fdeep/layers/dot_layer.hpp
 include/fdeep/layers/elu_layer.hpp
 include/fdeep/layers/embedding_layer.hpp
 include/fdeep/layers/exponential_layer.hpp
 include/fdeep/layers/flatten_layer.hpp
 include/fdeep/layers/gelu_layer.hpp
 include/fdeep/layers/global_average_pooling_3d_layer.hpp
 include/fdeep/layers/global_max_pooling_3d_layer.hpp
 include/fdeep/layers/global_pooling_layer.hpp
+include/fdeep/layers/hard_shrink_layer.hpp
 include/fdeep/layers/hard_sigmoid_layer.hpp
+include/fdeep/layers/hard_tanh_layer.hpp
 include/fdeep/layers/input_layer.hpp
 include/fdeep/layers/layer.hpp
 include/fdeep/layers/layer_normalization_layer.hpp
 include/fdeep/layers/leaky_relu_layer.hpp
 include/fdeep/layers/linear_layer.hpp
+include/fdeep/layers/log_sigmoid_layer.hpp
+include/fdeep/layers/log_softmax_layer.hpp
 include/fdeep/layers/max_pooling_3d_layer.hpp
 include/fdeep/layers/maximum_layer.hpp
 include/fdeep/layers/minimum_layer.hpp
 include/fdeep/layers/model_layer.hpp
 include/fdeep/layers/multi_head_attention_layer.hpp
 include/fdeep/layers/multiply_layer.hpp
 include/fdeep/layers/normalization_layer.hpp
 include/fdeep/layers/permute_layer.hpp
 include/fdeep/layers/pooling_3d_layer.hpp
 include/fdeep/layers/prelu_layer.hpp
 include/fdeep/layers/relu_layer.hpp
 include/fdeep/layers/repeat_vector_layer.hpp
 include/fdeep/layers/rescaling_layer.hpp
 include/fdeep/layers/reshape_layer.hpp
 include/fdeep/layers/resizing_layer.hpp
 include/fdeep/layers/selu_layer.hpp
 include/fdeep/layers/separable_conv_2d_layer.hpp
 include/fdeep/layers/sigmoid_layer.hpp
+include/fdeep/layers/soft_shrink_layer.hpp
 include/fdeep/layers/softmax_layer.hpp
 include/fdeep/layers/softplus_layer.hpp
 include/fdeep/layers/softsign_layer.hpp
+include/fdeep/layers/sparse_plus_layer.hpp
+include/fdeep/layers/square_plus_layer.hpp
 include/fdeep/layers/subtract_layer.hpp
 include/fdeep/layers/swish_layer.hpp
 include/fdeep/layers/tanh_layer.hpp
+include/fdeep/layers/tanh_shrink_layer.hpp
+include/fdeep/layers/threshold_layer.hpp
 include/fdeep/layers/time_distributed_layer.hpp
 include/fdeep/layers/unit_normalization_layer.hpp
 include/fdeep/layers/upsampling_1d_layer.hpp
 include/fdeep/layers/upsampling_2d_layer.hpp
+include/fdeep/layers/upsampling_3d_layer.hpp
 include/fdeep/layers/zero_padding_3d_layer.hpp
 include/fdeep/model.hpp
 include/fdeep/node.hpp
 include/fdeep/recurrent_ops.hpp
 include/fdeep/shape2.hpp
 include/fdeep/shape3.hpp
 include/fdeep/tensor.hpp
 include/fdeep/tensor_pos.hpp
 include/fdeep/tensor_shape.hpp
 include/fdeep/tensor_shape_variable.hpp
 lib/cmake/frugally-deep/frugally-deepConfig.cmake
 lib/cmake/frugally-deep/frugally-deepConfigVersion.cmake
 lib/cmake/frugally-deep/frugally-deepTargets.cmake