Installation of Keras library in Anaconda To install Keras, you will need Anaconda Distribution, which is supported by a company called Continuum…
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visualization
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Restricted Boltzmann Machine Nowadays, Restricted Boltzmann Machine is an undirected graphical model that plays a major role in the deep learning framework.…
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Keras Sequential Class Sequential class tf.keras.Sequential(layers=None, name=None) The Keras sequential class helps to form a cluster of a layer that is linearly…
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Artificial Neural Networks At earlier times, the conventional computers incorporated algorithmic approach that is the computer used to follow a set of…
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The Model class Model class tf.keras.Model() It is very beneficial in alliancing the layers into an object that encompasses features like training…
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Keras backends Keras is a model-level library, offers high-level building blocks that are useful to develop deep learning models. Instead of supporting…
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Keras Tutorial Keras is an open-source high-level Neural Network library, which is written in Python is capable enough to run on Theano,…
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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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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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