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Neural Networks Algorithms are inspired from the structure and functioning of the Human Biological Neuron. View:-28048
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Neural Networks Algorithms are inspired from the structure and functioning of the Human Biological Neuron.

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In a Neural Network, all the edges and nodes have the same Weight and Bias values. View:-38016
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In a Neural Network, all the edges and nodes have the same Weight and Bias values.
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_______________ is a recommended Model for Pattern Recognition in Unlabeled Data. View:-27875
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_______________ is a recommended Model for Pattern Recognition in Unlabeled Data.
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Process of improving the accuracy of a Neural Network is called _______________. View:-40727
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Process of improving the accuracy of a Neural Network is called _______________.
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Data Collected from Survey results is an example of ___________________. View:-29766
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Data Collected from Survey results is an example of ___________________.
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A Shallow Neural Network has only one hidden layer between Input and Output layers. View:-39724
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A Shallow Neural Network has only one hidden layer between Input and Output layers.
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Support Vector Machines, Naive Bayes and Logistic Regression are used for solving View:-27442
Question Posted on 24 Mar 2020

Support Vector Machines, Naive Bayes and Logistic Regression are used for solving

_________________....

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What does LSTM stand for? View:-12260
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What does LSTM stand for?
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(1)Long Short Term Memory
....

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All the Visible Layers in a Restricted Boltzmannn Machine are connected to each other. View:-20746
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All the Visible Layers in a Restricted Boltzmannn Machine are connected to each other.
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All the neurons in a convolution layer have different Weights and Biases. View:-28228
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All the neurons in a convolution layer have different Weights and Biases.
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What is the method to overcome the Decay of Information through time in RNN known as? View:-22501
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What is the method to overcome the Decay of Information through time in RNN known as?
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De-noising and Contractive are examples of __________________. View:-2
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De-noising and Contractive are examples of __________________.
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Autoencoders cannot be used for Dimensionality Reduction. View:-18348
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Autoencoders cannot be used for Dimensionality Reduction.
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What is the difference between the actual output and generated output known as? View:-21442
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What is the difference between the actual output and generated output known as?
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Recurrent Neural Networks are best suited for Text Processing. View:-56025
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Recurrent Neural Networks are best suited for Text Processing.
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Prediction Accuracy of a Neural Network depends on _______________ and ______________. View:-27054
Question Posted on 24 Mar 2020

Prediction Accuracy of a Neural Network depends on _______________ and ______________.
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Recurrent Networks work best for Speech Recognition. View:-40635
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Recurrent Networks work best for Speech Recognition.
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(1)....

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GPU stands for __________. View:-20356
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GPU stands for __________.
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(1)Graphics Processing Unit <....

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Gradient at a given layer is the product of all gradients at the previous layers. View:-30957
Question Posted on 24 Mar 2020

Gradient at a given layer is the product of all gradients at the previous layers.
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_____________________ is a Neural Nets way of classifying inputs. View:-29686
Question Posted on 24 Mar 2020

_____________________ is a Neural Nets way of classifying inputs.
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Name the component of a Neural Network where the true value of the input is not observed. View:-23648
Question Posted on 24 Mar 2020

Name the component of a Neural Network where the true value of the input is not observed.
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Recurrent Network can input Sequence of Data Points and Produce a Sequence of Output. View:-30643
Question Posted on 24 Mar 2020

Recurrent Network can input Sequence of Data Points and Produce a Sequence of Output.
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A Deep Belief Network is a stack of Restricted Boltzmann Machines. View:-33381
Question Posted on 24 Mar 2020

A Deep Belief Network is a stack of Restricted Boltzmann Machines.
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Restricted Boltzmann Machine expects the data to be labeled for Training. View:-34112
Question Posted on 24 Mar 2020

Restricted Boltzmann Machine expects the data to be labeled for Training.
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What is the best Neural Network Model for Temporal Data? View:-18055
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What is the best Neural Network Model for Temporal Data?
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RELU stands for ______________________________. View:-27686
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RELU stands for ______________________________.
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(1)Recti....

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Why is the Pooling Layer used in a Convolution Neural Network? View:-23326
Question Posted on 24 Mar 2020

Why is the Pooling Layer used in a Convolution Neural Network?
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What are the two layers of a Restricted Boltzmann Machine called? View:-26291
Question Posted on 24 Mar 2020

What are the two layers of a Restricted Boltzmann Machine called?
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The measure of Difference between two probability distributions is know as ________________________. View:-25491
Question Posted on 24 Mar 2020

The measure of Difference between two probability distributions is know as ________________________.
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A _________________ matches or surpasses the output of an individual neuron to a visual stimuli. View:-29795
Question Posted on 24 Mar 2020

A _________________ matches or surpasses the output of an individual neuron to a visual stimuli.
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The rate at which cost changes with respect to weight or bias is called __________________. View:-28721
Question Posted on 24 Mar 2020

The rate at which cost changes with respect to weight or bias is called __________________.
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