apache的专栏

EPFL，Neural Tangent Kernel:Convergence and Generalization in Neural Networkshttps://arxiv.org/abs/1806.07572Key trends from NeurIPS 2019https://huyenchip.com/2019/12/18/key-trends-neurips-2019.html【中】https://blog.youkuaiyun.com/tmb8z9vdm66wh68vx1/article/detai

Neural Architecture Search: A Surveyhttps://www.jmlr.org/papers/volume20/18-598/18-598.pdfhttps://www.automl.org/wp-content/uploads/2018/08/automl_book_draft_neural_architecture_search.pdf中译 https://blog.youkuaiyun.com/qq_28385535/article/details/10819345...

Softmax Sigmoidhttps://www.ritchieng.com/machine-learning/deep-learning/neural-nets/Softmax---

Recent Breakthroughs in AI (Karpathy, Johnson et al, Feb 2021)https://www.youtube.com/watch?v=Xl0xAJJqPfYhttps://victordibia.com/blog/ai-breakthroughs-feb21/

q

AI计算框架：强化学习

Hands-on with an 8x NVIDIA Tesla V100 SXM3 Server with NVSwitchhttps://www.servethehome.com/inspur-nf5488m5-review-a-unique-8x-nvidia-tesla-v100-server/https://www.youtube.com/watch?v=2FV5zHO1z1M

How to Install NVIDIA Tesla SXM2 GPUs in DeepLearning12https://www.servethehome.com/how-to-install-nvidia-tesla-sxm2-gpus-in-deeplearning12/NVIDIA Tesla SXM2 GPU Installation in DeepLearning12https://www.youtube.com/watch?v=ipQXdjjAPGg

本文是关于如何安装tensorflow 1.8.0 GPU版本的教程。 将安装CUDA 9.2和cuDNN 7.1.4以及tensorflow 1.8.0的GPU版本。 本教程用于从源代码构建tensorflow。在撰写此博客文章时，tensorflow的最新稳定版本为1.8.0。与早期版本的Tensorflow相比，使用CUDA 9.2和cuDNN 7.1.4的Tensorflow 1.8的速度...