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Describe the scene using three vivid sensory details — one for sight, one for sound, and one for touch. Summarize the mood of the image in one powerful sentence without naming any objects. Write a poetic description of the image focusing only on colors and emotions. Imagine the main subject…

Dimensionality reduction is the process of reducing the number of features (variables) in a dataset while preserving important information. It helps in: ✅ Reducing computational cost (faster processing)✅ Removing noise from data✅ Avoiding overfitting✅ Visualizing high-dimensional data Types of Dimensionality Reduction 1. Feature Selection (Selecting important features) 2. Feature Extraction…

Initializing weights and biases is a crucial step in building a neural network. Proper initialization helps ensure that the network converges to a good solution and does so efficiently. Let’s explore the reasons in detail: 1. Breaking Symmetry If all weights are initialized to the same value (e.g., zeros), then…