随着 TensorFlow 2.0 的发布，不少开发者产生了一些疑惑：作为 Keras 用户，TensorFlow 2.0 的发布跟我有关系吗？TensorFlow 中的 tf.keras 和 Keras 有什么区别？我该用哪一个训练神经网络？在本文中，作者给出的答案是：你应该在以后所有的深度学习项目和实验中都使用 tf ...
It's possible to create neural networks from raw code. But there are many code libraries you can use to speed up the process. These libraries include Microsoft CNTK, Google TensorFlow, Theano, PyTorch ...
经过 5 个月的更新迭代，Keras 3.0 终于来了。 「大新闻：我们刚刚发布了 Keras 3.0 版本！」Keras 之父 François Chollet 在 X 上激动 ...
TensorFlow2.7 正式发布，新版本包括对 tf.keras、tf.lite 等模块的改进；tf.data 现在可以支持自动分片（auto-sharding）；添加实验性 API Experiment_from_jax 以支持从 Jax 模型到 TensorFlow Lite 的转换。 「调试代码（debug）是框架用户体验的关键部分，更轻松的调试意味着更快的 ...
今年 3 月份，谷歌在加州举办的 TensorFlow 开发者峰会（TensorFlow Dev Summit）上正式发布了 Tensorflow 2.0 Alpha 版。今天，谷歌推出 ...
At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use If you looked at TensorFlow as a deep learning framework ...
In this video, we will understand what is Keras and Tensorflow. Tensorflow is a free and open-source library for machine learning and artificial intelligence. It was developed by Google. And it can be ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google open source machine learning library TensorFlow 2.0 is now ...
Around the Hackaday secret bunker, we’ve been talking quite a bit about machine learning and neural networks. There’s been a lot of renewed interest in the topic recently because of the success of ...
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