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 ...

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 ...

【猎云网（微信：ilieyun）北京】7月28日报道 7月28日，2022全球数字经济大会“人工智能驱动未来产业论坛”在京召开，中国信息通信研究院联合深度学习技术及应用国家工程研究中心发布了《深度学习平台发展报告(2022)》。报告对深度学习平台进行了多维度分析 ...

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 ...

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。

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 ...

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.