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Understanding Gradients and Optimization Techniques , Loss Functions in Neural Networks

Mar 18, 2025 · 4 min read · What is a Gradient? A gradient measures how much a small change in a parameter (like a weight) affects the model's output. In neural networks, gradients guide how to adjust weights to minimize the error (loss). Intuition: Imagine standing on a hill—g...

Neural Networks - Activation Function, Weights and Bias

Mar 11, 2025 · 4 min read · Traditional Machine Learning algorithms like Decision Trees, Support Vector Machines (SVM), and Logistic Regression have been widely used for years. However, these methods have limitations when dealing with:✔ Complex Data (Images, Text, Audio, Video)...

StandardScaler to numerical features and OneHotEncoder to categorical features.

Mar 10, 2025 · 2 min read · When working with real-world datasets, we often have: Numerical features (e.g., Age, Salary) Categorical features (e.g., Gender, Country) To improve model performance, we need to:✔ Standardize numerical features (for algorithms sensitive to scale...

Langchain in Short

Feb 21, 2025 · 4 min read · Building a Gen AI application irrespective of any LLM Model Building a Gen AI application using the LangChain ecosystem involves integrating various components to create a robust, scalable, and maintainable system. Below is a detailed breakdown of ho...

LLM FAQ's(Agents)

Feb 21, 2025 · 3 min read · Agent needs an AI Model at its core, and that LLMs are the most common type of AI models for this purpose. Q)What is a Large Language Model? An LLM is a type of AI model that excels at understanding and generating human language. They are trained on ...