PyTorch Housing Price Prediction Demo (Multi-feature) This tutorial demonstrates how to build a PyTorch housing price prediction model using multiple features such as area, number of bedrooms, and house type. You will learn how to: Generate synthetic multi-feature housing data Train a linear regression model with PyTorch Standardize and de-standardize...
Getting Started with PyTorch Image Classification on Google Colab This beginner-friendly PyTorch image classification tutorial shows how to train and test a model on Google Colab using the CIFAR-10 dataset. You will learn step-by-step how to: Set up Google Colab with GPU for deep learning Train a ResNet18 model on...
Understanding AOP in Spring Boot: How Proxies Are Created During Bean Initialization Here is a clear explanation of how Spring Boot uses AOP (Aspect-Oriented Programming) to create dynamic proxy objects during the refresh() method. It walks through the full process of how and when these proxies are generated during bean...
Spring Cloud Config Server Explained: Behind the Scenes with Source Code A Spring Cloud Config Server serves as a central place to manage external configuration for applications across all environments. Here is a walkthrough of the source code behind a Spring Cloud Config Server instance and highlights the key components,...
