Базовый шаблон интернет-магазина на Django
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Read MoreDeep Learning Architectures: CNNs, RNNs, and GANs
1. Pooling Layers in CNNs
A pooling layer is a down-sampling layer in a Convolutional Neural Network (CNN) usually placed after a convolutional layer. It reduces the spatial dimensions (width × height) of the input feature maps while retaining the most critical structural information.
Types of Pooling Layers
- Max Pooling: Extracts the maximum value from the region covered by the sliding filter. Purpose: Captures dominant features like sharp edges and bright pixels.
- Average Pooling: Computes the average
Fundamentals of AI: From Search to Expert Systems
UNIT I: Foundations of Artificial Intelligence
1. Introduction to Artificial Intelligence
Artificial Intelligence (AI) is a branch of computer science that focuses on creating machines capable of performing tasks that normally require human intelligence. These include learning, reasoning, problem-solving, decision-making, language understanding, and pattern recognition. AI simulates human thinking through algorithms and data processing, finding applications in robotics, virtual assistants, medical
Read MoreSupervised and Unsupervised Learning Model Reference
Supervised Classification
Logistic Regression (LR)
- Type: Binary Classification
- Scaling: Yes (StandardScaler)
- Outliers: Not robust
- Categorical Variables: No (encode first)
- Core Idea: Sigmoid function maps output to 0–1 probability; threshold ≥ 0.5 predicts class 1.
- Advantages: Fast, simple, interpretable, outputs probabilities.
- Disadvantages: Binary only, requires linear boundary, fails on non-linear data.
- Metrics: Accuracy, Precision, Recall, F1-Score, Confusion Matrix.
Decision Trees (DT)
- Type: Classification
Mastering Binary Trees, Searching, and Sorting Algorithms
Understanding Trees and Hierarchical Data
Trees can feel like a big jump from linear data structures like arrays or linked lists, but they are incredibly intuitive once you see how they organize data hierarchically. Here is a clear, scannable breakdown of the core concepts, representations, traversals, and Binary Search Tree (BST) operations you need to know.
1. Definitions and Core Concepts
A Tree is a non-linear, hierarchical data structure consisting of nodes connected by edges. It contains no cycles
Read MoreMastering Stacks and Queues: Data Structure Fundamentals
1. What is a Stack?
A stack is a linear data structure that follows the LIFO (Last In, First Out) principle. Think of it like a stack of plates in a cafeteria: the last plate you place on top is the first one you take off.
2. Representation of a Stack
There are two primary ways to implement a stack in memory:
A. Array Representation (Static Allocation)
- How it works: A fixed-size array is allocated, and a variable named
topkeeps track of the index of the topmost element. - Initial State:
top = -1(indicates