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 ...

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 ...

2015年，Google发布了机器学习框架TensorFlow，凭借其在技术上无可争议的统治地位，TensorFlow迅速成为这一领域的霸主。 2017年，TensorFlow如日中天之际，Facebook发布了PyTorch，谁也没有想到，短短四年后，它竟把前者从王座上拉了下来。 剥离正义与邪恶后，从某种意义 ...

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 ...

正如前文所述，许冰提到这项工作的灵感源于 Andrej Karpathy 的播客。当时他并不完全认同 Karpathy 关于「AI 编程」的某些激进观点，于是决定和首席工程师 Terry Chen 一起，用最硬核的系统开发来测试智能体的极限。

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

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.

TensorFlow, PyTorch, Keras, Caffe, Microsoft Cognitive Toolkit, Theano and Apache MXNet are the seven most popular frameworks for developing AI applications. Artificial Intelligence (AI) is a rapidly ...