Keras Convolutional Layers Conv1D keras.layers.Conv1D(filters, kernel_size, strides=1, padding=’valid’, data_format=’channels_last’, dilation_rate=1, activation=None, use_bias=True, kernel_initializer=’glorot_uniform’, bias_initializer=’zeros’, kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None) It refers to…
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backend
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Convolutional Neural Network Convolutional Neural Networks are a special type of feed-forward artificial neural network in which the connectivity pattern between its…
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Pooling Layers MaxPooling1D keras.layers.MaxPooling1D(pool_size=2, strides=None, padding=’valid’, data_format=’channels_last’) This layer performs max pooling operations for the temporal data. Arguments pool_size: It refers to…
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Keras Core Layers Dense keras.layers.Dense(units, activation=None, use_bias=True, kernel_initializer=’glorot_uniform’, bias_initializer=’zeros’, kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None) The dense layer can be defined as a…
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Keras Embedding keras.layers.Embedding(input_dim, output_dim, embeddings_initializer=’uniform’, embeddings_regularizer=None, activity_regularizer=None, embeddings_constraint=None, mask_zero=False, input_length=None) The embedding layer is used as an initial layer in the model,…
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Kohonen Self-Organizing Maps The self-organizing maps were invented in the 1980s by Teuvo Kohonen, which are sometimes called the Kohonen maps. Since…
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Keras layers Keras encompasses a wide range of predefined layers as well as it permits you to create your own layer. It…
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Keras Locally-connected Layers LocallyConnected1D keras.layers.LocallyConnected1D(filters, kernel_size, strides=1, padding=’valid’, data_format=None, activation=None, use_bias=True, kernel_initializer=’glorot_uniform’, bias_initializer=’zeros’, kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None) The locally connected layer…
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Mega Case Study In this mega case study, we are going to make a hybrid deep learning model. As the name suggests,…
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Keras Merge Layers Add keras.layers.Add() This layer adds a list of inputs by taking a similar shape of the tensors list as…
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