deep learning
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...
Read More →
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...
Read More →
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...
Read More →
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...
Read More →
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...
Read More →
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...
Read More →
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...
Read More →
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...
Read More →
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...
Read More →
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....
Read More →
Naveen
📅 Last Updated: 14 Dec, 2024
What is the difference between LSTM and GRU?
Introduction to LSTM (Long Short-Term Memory)Imagine you’re at a murder mystery dinner. At the very beginning, the Lord of the...
Read More →
Naveen
📅 Last Updated: 12 Dec, 2024
Difference between Artificial Intelligence, Machine Learning and Deep Learning?
Artificial intelligence (AI) is a term that encompasses computer systems designed to imitate human intelligence. It is an exciting field...
Read More →