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Naveen
📅 Last Updated: 12 Dec, 2024
Computer Vision interview Question Part-1
1 – What are machine learning algorithms available in OpenCV? OpenCV is an open-source library for computer vision, machine learning...
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Naveen
📅 Last Updated: 12 Dec, 2024
Natural Language Processing Interview questions Part – 2
1 – What is an ensemble method in NLP? Ensemble methods are a group of machine learning algorithms that work...
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Naveen
📅 Last Updated: 12 Dec, 2024
Natural Language Processing Interview questions Part – 1
1 – What are some of the common NLP tasks? NLP is the process of understanding a sentence and then...
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Naveen
📅 Last Updated: 12 Dec, 2024
Machine Learning Interview questions Part -2
1 – Define precision and recall? The precision and recall are two measures of data quality. They are used to...
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Naveen
📅 Last Updated: 12 Dec, 2024
Machine Learning Interview questions Part -1
1 – What are Different Types of Machine Learning algorithms? There are various types of machine learning algorithms. The most...
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Naveen
📅 Last Updated: 12 Dec, 2024
Deep Learning interview questions Part -2
1 – What are autoencoders? Explain the different layers of autoencoders. Autoencoders are neural networks that are trained to reconstruct...
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Naveen
📅 Last Updated: 12 Dec, 2024
Deep Learning interview questions Part -1
1 – What is data normalization? What’s the need for it? Data normalization is a process of transforming data from...
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Naveen
📅 Last Updated: 12 Dec, 2024
What is Tanh activation function?
The Tanh Activation function is a scaled and shifted version of the hyperbolic tangent function, a mathematical function frequently encountered...
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Naveen
📅 Last Updated: 12 Dec, 2024
What is PReLU and ELU activation function?
PReLU(Parametric ReLU) – PReLU is vital to the success of deep learning. It solves the problem with activation functions like...
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Naveen
📅 Last Updated: 15 Dec, 2024
Difference between Leaky ReLU and ReLU activation function?
What is an Activation Function? An activation function is a critical component in neural networks. It determines a neuron’s output...
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Naveen
📅 Last Updated: 12 Dec, 2024
What is ReLU and Sigmoid activation function?
The activation function is a nonlinear function that takes in the weighted sum and produces the output. They are used...
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Naveen
📅 Last Updated: 12 Dec, 2024
What is Vanishing and exploding gradient descent?
Vanishing and exploding gradient descent is a type of optimization algorithm used in deep learning. Vanishing Gradient Vanishing Gradient occurs...
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