pure tensorflow and keras implementation of resnet are working and measurements appear reasonable tensorflow and keras resnet's have different implementation for data_loader tensorflow and keras resnet's have different implementation for learning rate tensorflow has a bug with version=2 resnet model
Keras/Tensorflow implementation of the Deep Adaptive Input Normalization Layer for Time Series Forec...
Code in Python and Matlab necessary to reproduce the figures. Code for Figs 1–4 is written in Python...
Keras/Tensorflow models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,ed...
Download the PDF file and follow the instructions. This is for NVIDIA GPU and Windows OS. Contac...
Weights for ResNet-RS models as per #554 . Ported from Tensorflow impl (https://github.com/tensorflo...
Bugfix release (#34), updated code to be compatible with newer versions of TensorFlow
Application: Image Classification ML Task: ResNet-50 Framework: tensorflow Training Information: ...
Deep learning frameworks are of particular note, as they have been shown to drastically alter the pe...
Provides a consistent interface to the 'Keras' Deep Learning Library directly from within R. 'Keras'...
Keras/Tensorflow implementation of the Deep Adaptive Input Normalization Layer for Time Series Forec...
As deep learning has been adopted in various domains, the inference process is of growing importance...
Keras is a modular, powerful and intuitive open-source Deep Learning library built on Theano and Ten...
Advances in GPU have facilitated design and execution of complex and computation-intensive deep lear...
MIScnn release version 1.0. Changelog: Added Multi-threaded Subfunction preprocessing Added absolut...
Application: Image Classification ML Task: ResNet-50 Framework: ONNX (via tensorflow) Training In...
Keras/Tensorflow implementation of the Deep Adaptive Input Normalization Layer for Time Series Forec...
Code in Python and Matlab necessary to reproduce the figures. Code for Figs 1–4 is written in Python...
Keras/Tensorflow models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,ed...
Download the PDF file and follow the instructions. This is for NVIDIA GPU and Windows OS. Contac...
Weights for ResNet-RS models as per #554 . Ported from Tensorflow impl (https://github.com/tensorflo...
Bugfix release (#34), updated code to be compatible with newer versions of TensorFlow
Application: Image Classification ML Task: ResNet-50 Framework: tensorflow Training Information: ...
Deep learning frameworks are of particular note, as they have been shown to drastically alter the pe...
Provides a consistent interface to the 'Keras' Deep Learning Library directly from within R. 'Keras'...
Keras/Tensorflow implementation of the Deep Adaptive Input Normalization Layer for Time Series Forec...
As deep learning has been adopted in various domains, the inference process is of growing importance...
Keras is a modular, powerful and intuitive open-source Deep Learning library built on Theano and Ten...
Advances in GPU have facilitated design and execution of complex and computation-intensive deep lear...
MIScnn release version 1.0. Changelog: Added Multi-threaded Subfunction preprocessing Added absolut...
Application: Image Classification ML Task: ResNet-50 Framework: ONNX (via tensorflow) Training In...
Keras/Tensorflow implementation of the Deep Adaptive Input Normalization Layer for Time Series Forec...
Code in Python and Matlab necessary to reproduce the figures. Code for Figs 1–4 is written in Python...
Keras/Tensorflow models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,ed...
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