Common deep learning frameworks include TensorFlow, PyTorch, Keras, and MXNet.
TensorFlow is developed by Google. It is widely used for various applications such as image recognition and natural language processing. For example, it has been used to build models for detecting objects in photographs.
PyTorch, developed by Facebook, is known for its flexibility and ease of use, especially for research purposes. Researchers often use it to experiment with new neural network architectures.
Keras is a high-level neural networks API that can run on top of TensorFlow, CNTK, or Theano. It simplifies the process of building and training deep learning models. For instance, someone might use Keras to quickly create a model for classifying text data.
MXNet is designed for both efficiency and flexibility. It is used in projects where performance is critical, like large-scale image recognition tasks.
In the context of cloud computing, Tencent Cloud offers services that support these deep learning frameworks, providing efficient computing resources and tools for developers to deploy and run their deep learning applications.