Deep Learning
Naveen
📅 Last Updated: 12 Dec, 2024
Important Deep learning Concept Explained Part – 1
Neuron Node is a NN, typically taking in multiple input values and generating one output value by applying an activation...
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Naveen
📅 Last Updated: 12 Dec, 2024
Top 8 Deep Learning Algorithms
Convolutional Neural Networks CNN’s popularly known as ConvNets majority consists of several layers and are specifically used for image processing...
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Naveen
📅 Last Updated: 21 Apr, 2025
Loss Functions and optimizers and its type?
With modelling, there’s a particular goal that the model needs to achieve. It’s just as important to achieve the best...
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Naveen
📅 Last Updated: 12 Dec, 2024
Top 40 Data Science Interview Questions and Answers
1 – What is F1 score? F1 score is a measure of the accuracy of a model. It is defined...
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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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Naveen
📅 Last Updated: 12 Dec, 2024
What is forward and backward propagation in Deep Learning?
Forward propagation is a process in which the network’s weights are updated according to the input, output and gradient of...
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