Restricted Boltzmann Machine Nowadays, Restricted Boltzmann Machine is an undirected graphical model that plays a major role in the deep learning framework.…
Tag:
optimizers
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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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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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Keras Models Keras has come up with two types of in-built models; Sequential Model and an advanced Model class with functional API.…
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Recurrent Layers RNN keras.engine.base_layer.wrapped_fn() The RNN layer act as a base class for the recurrent layers. Arguments cell: It can be defined…
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Recurrent Neural Networks Why not Feedforward Networks? Feedforward networks are used to classify images. Let us understand the concept of a feedforward…
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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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