What is the method for installing and using the Gluon framework?

Here is how to install the Gluon framework:

1. Ensure that the Python environment is already installed, and it is recommended to use Python version 3.6 or higher.
2. Open the command line terminal (Windows users can use Command Prompt or PowerShell, Mac and Linux users can use Terminal).
3. Install mxnet using pip
4. After installation, you can import the gluon module in Python scripts and start using it.

The method of using the gluon framework is as follows:

1. import gluon from mxnet
2. Create a sequence of layers using the Gluon framework.
3. Add a layer with 10 neurons to the model.
4. Initialize the model.
5. SoftmaxCrossEntropyLoss function in the gluon loss module calculates the loss.
6. The trainer is defined using the stochastic gradient descent optimizer with a learning rate of 0.1 for the model’s parameters.
7. advance the trainer by a batch size
8. Use the test data to predict outcomes.

The above are the basic steps for installing and using the Gluon framework. Depending on your specific needs, you can further explore and learn about more features and characteristics of the Gluon framework.