Linking pages
- Keras or PyTorch as your first deep learning framework - deepsense.ai https://deepsense.ai/keras-or-pytorch/ 137 comments
- Multi-GPU Framework Comparisons. GitHub Link | by Ilia Karmanov | Medium https://medium.com/@iliakarmanov/multi-gpu-rosetta-stone-d4fa96162986 0 comments
- A sneak peek into Dynamic Neural Networks | by Wassa Team | Wassa | Medium https://medium.com/wassa/a-sneak-peek-into-dynamic-neural-networks-1bc64c602295 0 comments
- Neural Net in 10 Frameworks (Lessons Learned) | by Ilia Karmanov | Medium https://medium.com/@iliakarmanov/neural-net-in-8-frameworks-lessons-learned-6a5e8e78b481 0 comments
Linked pages
- CIFAR-10 and CIFAR-100 datasets https://www.cs.toronto.edu/~kriz/cifar.html 6 comments
- Optimizing Recurrent Neural Networks in cuDNN 5 | NVIDIA Technical Blog https://devblogs.nvidia.com/parallelforall/optimizing-recurrent-neural-networks-cudnn-5/ 0 comments
- Comparing Deep Learning Frameworks: A Rosetta Stone Approach | Microsoft Learn https://blogs.technet.microsoft.com/machinelearning/2018/03/14/comparing-deep-learning-frameworks-a-rosetta-stone-approach/ 0 comments
- TensorFlow LSTM Benchmark — RETURNN 1.0-dev documentation http://returnn.readthedocs.io/en/latest/tf_lstm_benchmark.html 0 comments
Related searches:
Search whole site: site:github.com
Search title: GitHub - ilkarman/DeepLearningFrameworks: Demo of running NNs across different frameworks
See how to search.