Examples of using Pytorch in English and their translations into Chinese
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Pytorch is a Deep Learning framework.
PyTorch models also have a helpful.
PyTorch is inspired primarily by three frameworks.
PyTorch- Excellent community support and active development.
Announcing PyTorch 1.0 for both research and production.
PyTorch- Excellent community support and active development.
Carry out supervised and unsupervised learning using PyTorch.
Keras vs. PyTorch: Exporting models and cross-platform portability.
In March 2018, Caffe2 was merged into PyTorch.
Keras vs. PyTorch: Popularity and access to learning resources.
PyTorch is widely applied in natural language processing applications.
OpenAI sets PyTorch as its new standard deep learning framework.
Use PyTorch because you can't do that with NumPy.
Pytorch is used for applications such as natural language processing.
PyTorch- A deep learning framework that puts Python first.
Use PyTorch because Scikit-Learn doesn't cater to deep learning.
Next One simple graphic: Researchers love PyTorch and TensorFlow.
We strongly recommend that you pick either Keras or PyTorch.
Keras vs. PyTorch: Popularity and access to learning resources.
The two most common hubs are TensorFlow Hub and PyTorch Hub.