React & Frontend Frameworks Guide | Components, Hooks & State

Deep learning is a family of machine learning methods that use multi-layer neural networks.

Optimizing React performance involves techniques like memoization with `React.memo` for components, using `useMemo` for expensive calculations, and employing `useCallback` for function memoization to prevent unnecessary re-renders.

React.memo is a higher-order component that prevents re-renders of functional components if their props haven't changed, significantly improving performance in scenarios with frequently updated components.

Code splitting with React.lazy allows you to load components on demand, reducing the initial bundle size and improving loading times. Virtualizing long lists prevents rendering all items at once, and using production builds optimizes performance for deployment.

React DevTools allows you to profile your application's performance by identifying bottlenecks such as slow rendering times or excessive re-renders, enabling targeted optimization efforts.