众所周知，经历了计算机科学过去几十年没有突破的瓶颈期之后，人工智能技术这些年由于算法和算力（并行计算）革命，迈入了一个高速发展的时期。不仅如此，在编程语言和开发者环境不断演化的今天，人工智能算法领域已悄然形成了两大阵营——TensorFlow与 ...

Deep learning continues to be one of the hottest fields in computing, and while Google’s TensorFlow remains the most popular framework in absolute numbers, Facebook’s PyTorch has quickly earned a ...

众所周知，在机器学习框架领域，PyTorch、TensorFlow已分别成为目前学界和业界使用最广泛的两大实力玩家，而紧随其后的Keras、MXNet等框架也由于其自身的独特性受到开发者的喜爱。 2020年上半年，数个“国产”AI框架渐次宣布开源，讨论的热度一直在持续。

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 ...

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7项指标排名第一。 JAX在最近的基准测试中的性能已经不声不响地超过了Pytorch和TensorFlow，也许未来会有更多的大模型诞生在这个平台上。谷歌在背后的默默付出终于得到了回报。 谷歌力推的JAX在最近的基准测试中性能已经超过Pytorch和TensorFlow，7项指标排名第一。