科技领域的派系之争从未休止,各种各样的操作系统、云服务商乃至深度学习框架都有各自的支持者和反对者。几杯小酒下肚,从业人士们总爱拾起话题、挑动争端,搞搞“抛开事实不谈”的娱乐插曲。没错,人们会打心里支持自己喜爱的技术,甚至愿意牺牲 ...
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 ...
以后,Keras 适用的框架只会越来越多。 Keras 出新库了,这次是 Keras Core,我们可以将其理解为 Keras 3.0 预览版,预计今年秋天正式发布。 总结而言,这次 Keras Core 对 Keras 代码库进行了完全重写,除了 TensorFlow 之外,它还将 Keras API 引入 JAX 和 PyTorch。 现在,Keras ...
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 ...
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 ...
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 ...
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。
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.
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