Explain the components of a CNN layer.
7 a] Explain the components of a CNN layer. A Convolutional Neural Network (CNN) layer consists of several key components that work together to process input data, usually images, and…
Category solved model papers
Explain the Adam algorithm in detail.
6.b) Explain the Adam algorithm in detail. Answer: The Adam (Adaptive Moment Estimation) algorithm is an advanced optimization algorithm widely used for training deep learning models. It combines ideas from…
Discuss the working of backpropagation.
4 b] Discuss the working of backpropagation. Backpropagation is a key algorithm used to train artificial neural networks, enabling them to learn from data by adjusting the weights of the…
AdaGrad and algorithm for AdaGrad.
6.a) Explain AdaGrad and write an algorithm for AdaGrad. Answer: AdaGrad Algorithm for AdaGrad.
Explain briefly about the gradient descent algorithm.
4 A] Explain briefly about the gradient descent algorithm. Gradient Descent Algorithm Gradient descent is an optimization algorithm used to minimize the cost function in machine learning models, particularly for…
Challenges in neural network optimization
5.b) Explain the challenges that occur in neural network optimization in detail. Answer: Challenges in Neural Network Optimization Convex and non-convex functions are important concepts in machine learning, particularly in…
What is regularization? How does regularization help in reducing overfitting?
3 B] What is regularization? How does regularization help in reducing overfitting? What is Regularization? Regularization is a technique in machine learning used to prevent overfitting by introducing additional constraints…
Explain the working of deep forward networks.
3 a] Explain the working of deep forward networks. A Deep Forward Network (DFN), also known as a deep neural network, is a type of artificial neural network that maps…
Empirical risk minimization
5.a) Explain empirical risk minimization. Answer: Empirical risk minimization
Write a note on Speech Recognition and NLP
Write a note on Speech Recognition and NLP Answer:- Speech Recognition: Natural Language Processing (NLP):