Programming Language: Python

Namespace/Package Name: keras.models

Class/Type: Sequential

Method/Function: __init__

Examples at hotexamples.com: 18

The keras.models.Sequential class in Python is used to define a linear stack of layers in a neural network model. It is a part of the Keras library, which is a high-level API for building and training deep learning models.

The syntax for initializing a Sequential model in Keras is:

This creates an empty Sequential model object that can be further configured by adding layers, compiling the model, and fitting it to training data.

Here are some examples of defining Sequential models using the Keras library:

**Example 1:**

This defines a simple feedforward neural network with two fully connected layers, where the input layer has 784 neurons and the output layer has 10 neurons with a softmax activation.

**Example 2:**

The syntax for initializing a Sequential model in Keras is:

from keras.models import Sequential model = Sequential()

This creates an empty Sequential model object that can be further configured by adding layers, compiling the model, and fitting it to training data.

Here are some examples of defining Sequential models using the Keras library:

from keras.models import Sequential from keras.layers import Dense model = Sequential([ Dense(64, activation='relu', input_shape=(784,)), Dense(10, activation='softmax') ])

This defines a simple feedforward neural network with two fully connected layers, where the input layer has 784 neurons and the output layer has 10 neurons with a softmax activation.

from keras.models import Sequential from keras.layers import Conv2D, MaxPooling2D, Flatten, Dense model = Sequential([ Conv2D(32, kernel_size=(3, 3), activation='relu', input_shape=(28,28,1)), MaxPooling2D(pool_size=(2, 2)), Flatten(), Dense(128, activation='relu'), Dense(10, activation='softmax') ])This defines a convolutional neural network with a 2D convolutional layer followed by max pooling, a flatten layer, and two fully connected layers, where the input images have a size of 28x28x1. In conclusion, the keras.models.Sequential __init__ is a method for initializing a Sequential model object in Python using the Keras library.

Frequently Used Methods

Frequently Used Methods

Frequently Used Methods

Frequently Used Methods