What is the method for installing and using the Keras library?

To install the Keras library, you can use the following method:

1. To install using pip: open a command prompt window and run the following command:

pip install keras

To install using conda: If you are using Anaconda, open the Anaconda Prompt and run the following command:

conda install keras

After the installation is complete, you can use the Keras library by following these steps:

Import Keras:

import keras

2. Construct a model:

from keras.models import Sequential
model = Sequential()

3. Add layers:

from keras.layers import Dense
model.add(Dense(units=10, activation='relu', input_dim=5))

Compile the model:

model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])

Train the model.

model.fit(X_train, y_train, epochs=10, batch_size=32)

Evaluating the model:

loss_and_metrics = model.evaluate(X_test, y_test)

7. Making predictions using a model:

predictions = model.predict(X_new)

The above is the basic installation and usage methods of the Keras library. You can further explore and learn about the functions and features of Keras according to your own needs and specific situations.