Linking pages
Linked pages
- Google I/O Keynote (Google I/O '17) - YouTube https://www.youtube.com/watch?v=Y2VF8tmLFHw 137 comments
- Why are Eight Bits Enough for Deep Neural Networks? « Pete Warden's blog http://petewarden.com/2015/05/23/why-are-eight-bits-enough-for-deep-neural-networks/ 45 comments
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- 5 Regression Loss Functions All Machine Learners Should Know | by Prince Grover | Heartbeat https://heartbeat.fritz.ai/5-regression-loss-functions-all-machine-learners-should-know-4fb140e9d4b0 13 comments
- [1503.02531] Distilling the Knowledge in a Neural Network https://arxiv.org/abs/1503.02531 5 comments
- An Introduction to different Types of Convolutions in Deep Learning | by Paul-Louis Pröve | Towards Data Science https://towardsdatascience.com/types-of-convolutions-in-deep-learning-717013397f4d 5 comments
- Comet ML - Build better models faster https://www.comet.ml/ 4 comments
- Convolutional Neural Networks: An Intro Tutorial | by Derrick Mwiti | Heartbeat https://heartbeat.fritz.ai/a-beginners-guide-to-convolutional-neural-networks-cnn-cf26c5ee17ed 3 comments
- [1608.06993] Densely Connected Convolutional Networks https://arxiv.org/abs/1608.06993 3 comments
- GitHub - cybertronai/gradient-checkpointing: Make huge neural nets fit in memory https://github.com/openai/gradient-checkpointing 3 comments
- Machine learning on iOS and Android | by Austin Kodra | Heartbeat https://heartbeat.fritz.ai/machine-learning-on-ios-and-android-bd77f6e92c7b 0 comments
- Building an Image Recognition Model for Mobile using Depthwise Convolutions | by John Olafenwa | Heartbeat https://heartbeat.fritz.ai/building-an-image-recognition-model-for-mobile-using-depthwise-convolutions-643d70e0f7e2 0 comments
- TensorRT SDK | NVIDIA Developer https://developer.nvidia.com/tensorrt 0 comments
- [1704.04861] MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications https://arxiv.org/abs/1704.04861 0 comments
- Compressing deep neural nets http://machinethink.net/blog/compressing-deep-neural-nets/ 0 comments
- [1707.07012] Learning Transferable Architectures for Scalable Image Recognition https://arxiv.org/abs/1707.07012 0 comments
- 8-Bit Quantization and TensorFlow Lite: Speeding up mobile inference with low precision | by Manas Sahni | Heartbeat https://heartbeat.fritz.ai/8-bit-quantization-and-tensorflow-lite-speeding-up-mobile-inference-with-low-precision-a882dfcafbbd 0 comments
- Custom On-Device ML Models with Learn2Compress – Google AI Blog https://ai.googleblog.com/2018/05/custom-on-device-ml-models.html 0 comments
- A Simple Guide to the Versions of the Inception Network | by Bharath Raj | Towards Data Science https://towardsdatascience.com/a-simple-guide-to-the-versions-of-the-inception-network-7fc52b863202 0 comments
- What I’ve learned about neural network quantization « Pete Warden's blog https://petewarden.com/2017/06/22/what-ive-learned-about-neural-network-quantization/ 0 comments
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