👉 This article will explore the different ways to create models in Keras, along with their advantages and drawbacks: machinelearningmastery.com/three-ways-to-…
#Keras #MachineLearning
#Keras #MachineLearning
1. Using the Sequential Class
The Sequential Model is just as the name implies. It consists of a sequence of layers, one after the other. From the Keras documentation.
The Sequential Model is just as the name implies. It consists of a sequence of layers, one after the other. From the Keras documentation.
2. Using Keras’s Functional Interface
The next method of constructing Keras models you will explore uses Keras’s functional interface. The functional interface uses the layers as functions instead, taking in a Tensor and outputting a Tensor as well.
The next method of constructing Keras models you will explore uses Keras’s functional interface. The functional interface uses the layers as functions instead, taking in a Tensor and outputting a Tensor as well.
3. Subclassing keras.Model:
Keras also provides an object-oriented approach to creating models, which helps with reusability and allows you to represent the models you want to create as classes.
Keras also provides an object-oriented approach to creating models, which helps with reusability and allows you to represent the models you want to create as classes.
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