A subcategory of machine learning, deep learning uses multi-layered neural networks to automate historically difficult machine tasks—such as image recognition, natural language processing (NLP), and ...

In the dynamic world of machine learning, two heavyweight frameworks often dominate the conversation: PyTorch and TensorFlow. These frameworks are more than just a means to create sophisticated ...

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...

【导读】用英伟达的GPU，但可以不用CUDA？PyTorch官宣，借助OpenAI开发的Triton语言编写内核来加速LLM推理，可以实现和CUDA类似甚至更佳的性能。 试问，有多少机器学习小白曾被深度学习框架和CUDA的兼容问题所困扰？ 又有多少开发者曾因为频频闪烁的警报「CUDA版本 ...

Is PyTorch better than TensorFlow for general use cases? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Martha Lambert introduces the "Observability ...

格隆汇12月1日｜优刻得发布新一代GPU虚拟化技术，可将单张GPU精细切分为多个虚拟算力单元，最小粒度达10%，支持单卡同时承载多项AI工作负载。该技术通过轻量级用户态截获，实现显存与算力的强隔离与可控分配，虚拟化损耗仅1%–3%，兼容PyTorch ...

At the start of May, I decided to get TensorFlow Developer Certified. So I set myself up with a curriculum to sharpen my skills and took the certification — turns out, I passed. Let me tell you how I ...