Machine and Deep Learning workflows - UL HPC Tutorials
CUDA vs Keras | What are the differences?
OpenCL and Theano/Keras Support for GPU · Issue #6343 · Theano/Theano · GitHub
Keras: Fast Neural Network Experimentation
Low GPU usage by Keras / Tensorflow? - Stack Overflow
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Accelerating NNEF Framework on OpenCL Devices Using clDNN | Semantic Scholar
Vertex.AI (@vertexai) / Twitter
Using PlaidML for deep learning on a Macbook Pro GPU | by littlereddotdata | The Startup | Medium
Deep Learning without CUDA – Sydney Informatics Hub
TensorFlow OpenCL | Complete Guide to TensorFlow OpenCL
Keras vs Tensorflow - Deep Learning Frameworks Battle Royale
Deep Learning on a Mac with AMD GPU | by Fabrice Daniel | Medium
Running Tensorflow on AMD GPU | Text Mining Backyard
PlaidML on Twitter: "#PlaidML now has preliminary support for for Mac and Python 3: https://t.co/Gl1cq9VPhJ #Keras #OpenCL #DeepLearning https://t.co/g5Ca0BrbB8" / Twitter
Keras: Fast Neural Network Experimentation
tensorflow-opencl/RELEASE.md at master · benoitsteiner/tensorflow-opencl · GitHub
Keras vs Tensorflow - Deep Learning Frameworks Battle Royale
François Chollet on Twitter: "PlaidML is an open-source Keras backend that runs on OpenCL, with good performance relative to TensorFlow: https://t.co/tCmzXHfFUO https://t.co/3YAQI0EMX5" / Twitter
GitHub - kpot/avalanche: Avalanche - OpenCL deep learning framework with a backend for Keras
Keras vs Tensorflow - Deep Learning Frameworks Battle Royale
Accelerating NNEF Framework on OpenCL Devices Using clDNN | Semantic Scholar
Machine Learning at the Edge!. Getting Machine Learning/image… | by Peter Gaston | Towards Data Science
Implementing OpenCL backend for pytorch - hardware-backends - PyTorch Dev Discussions
