keras.Model

Keras Model is a high-level API that provides a convenient way to define and train deep learning models. It is a class-based interface that allows you to create complex models by defining the layers, input shape, and output shape. It also provides a set of built-in functions for compiling, training, and evaluating models. Keras Model is built on top of TensorFlow, and it supports both CPU and GPU computations.

Creating a Keras Model involves defining the input shape, output shape, and the layers that connect them. You can define a Keras Model using either the Sequential API or the Functional API. The Sequential API is the simplest way to build a model, while the Functional API provides more flexibility and allows you to create complex models.

Once you have defined the model, you can compile it by specifying the optimizer, loss function, and metrics. You can then train the model using the fit() function, which takes the training data and the number of epochs as input. Finally, you can evaluate the model using the evaluate() function, which takes the test data as input.

Overall, Keras Model is a powerful tool for building and training deep learning models. Its ease of use and flexibility make it a popular choice for researchers and developers alike.