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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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Naveen
📅 Last Updated: 12 Dec, 2024
What is multilayer perceptron?
A multi-layer perceptron is a type of artificial neural network. It has one or more hidden layers between the input...
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Naveen
📅 Last Updated: 12 Dec, 2024
Difference between machine learning and machine reasoning?
Machine Learning is a subset of artificial intelligence, which is a type of statistical learning. It provides computer programs with...
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Naveen
📅 Last Updated: 29 Jun, 2026
Perceptron vs Neuron: What’s the Real Difference?
The difference between a perceptron and a neuron is something that people get mixed up about all the time. This...
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Naveen
📅 Last Updated: 12 Dec, 2024
What is perceptron?
The perceptron is a type of artificial neural network (ANN) that is designed to recognize patterns in data. It can...
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Naveen
📅 Last Updated: 12 Dec, 2024
What is L1 and L2 regularization in Deep Learning?
In deep learning, L1 and L2 regularization are regularization techniques used to penalize the model’s weights during the training process....
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Naveen
📅 Last Updated: 12 Dec, 2024
Some examples of simple gradient-based NLP models.
There are a lot of simple gradient-based NLP models that can be used to solve a variety of natural language...
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Naveen
📅 Last Updated: 12 Dec, 2024
How is NLP revolutionizing financial services?
NLP is revolutionizing the way we interact with financial services. It’s allowing us to have a more natural conversation with...
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