Unique Characteristics of Environmental Problems Answer:- 1. Genetic Modification of Crops 2. Waste Production 3. Population Growth 4. Water Pollution 5. Overfishing 6. Deforestation 7. Urban Sprawl 8. Acid Rain…
21CV753 Environmental Protection and Management (EPM) Previous Year Repeated Questions with Answers These are just most repeated questions over years and not official model question paper of VTU, you can…
In neural networks, structured output refers to tasks where the goal is not just to predict a single value (like a class label or a real number) but instead to…
8 a] Explain the variants of the CNN model. Multi-Channel Convolution: Stride Convolution: Zero Padding: Locally Connected Layers: Tiled Convolution: Backpropagation in Convolutional Layers: Bias Sharing:
7 b] Explain pooling with network representation. Pooling is a crucial operation in convolutional neural networks (CNNs), typically used after convolution and non-linear activation stages to reduce the spatial dimensions…
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…
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…
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…
6.a) Explain AdaGrad and write an algorithm for AdaGrad. Answer: AdaGrad Algorithm for AdaGrad.
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…
