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 ...

Deep learning is changing our lives in small and large ways every day. Whether it’s Siri or Alexa following our voice commands, the real-time translation apps on our phones, or the computer vision ...

中国深度学习市场应用规模第一！ 这就是中国信通院与深度学习技术及应用国家工程研究中心联合发布的《深度学习平台发展报告（2022年）》（下文简称报告）中，所给出的最新结论。 而且还是和老牌深度学习框架选手，谷歌家的TensorFlow、Meta家的PyTorch一较高 ...

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 ...

自 2015 年 TensorFlow 开源以来，伴随着深度学习的迅猛发展，通用深度学习框架经历了 10 年的高速发展，大浪淘沙，余者寥寥。曾几何时，也有过性能与易用性之争，也有过学术界和工业界之分，但随着本轮大模型应用的推波助澜，PyTorch 无疑已经成为事实上的大 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

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.

深夜的实验室灯光下，代码在终端持续编译，TensorFlow日志飞速滚动，Jupyter Notebook里刚跑完第三轮超参数调优——AI研究人员需要的不是纸面参数堆砌的旗舰，而是真实场景中稳如磐石的算力基座：既要应对PyTorch分布式训练的线程调度压力，也要兼顾数据清洗 ...

In what might only be perceived as a win for Facebook, OpenAI today announced that it will migrate to the social network's PyTorch machine learning framework in future projects, eschewing Google's ...