What is Deep learning?Deep learning kya hai?

🧸 Think of it likeAise samjho

Like learning to recognise a face in stages: first edges, then eyes and nose, then the whole face. Each layer builds on the one before.Chehra pehchaanna stages mein seekhne jaisa: pehle edges, phir aankh aur naak, phir poora chehra. Har layer pichhli wali pe banti hai.

📘 ExplainedVistaar se

Deep networks learn features directly from raw data: early layers detect simple patterns, later layers combine them into concepts. They need lots of data and compute (GPUs) and power modern vision, speech recognition and LLMs. For most work you start from pretrained models instead of training from scratch.Deep networks raw data se seedhe features seekhte hain: shuru ki layers simple patterns pakadti hain, baad ki unhe concepts mein jodti hain. Inhe bahut data aur compute (GPUs) chahiye aur yeh aaj ke vision, speech recognition aur LLMs chalaate hain. Zyaadatar kaam mein shuru se train karne ke bajaye pretrained models se shuru karte ho.

💡 Real exampleAsli example

Speech to text on your phone uses deep learning.Phone pe speech to text deep learning use karta hai.

📖 Learn it step by stepStep by step seekho

• Neural networks: layers that learnNeural networks: layers jo seekhti hain
• What is AI? AI vs ML vs Deep Learning vs GenAIAI kya hai? AI vs ML vs Deep Learning vs GenAI

🔗 Related termsJude hue shabd

• Neural networkA model made of layers of simple connected units (neurons) that learn by adjusting connection weights.Simple jude hue units (neurons) ki layers se bana model jo connection weights badal kar seekhta hai.
• TransformerThe neural network architecture behind modern LLMs, built around attention.Aaj ke LLMs ke peeche ka neural network architecture, attention pe bana.
• GPUA chip that does thousands of maths operations in parallel, which makes training and running AI fast.Chip jo hazaaron maths operations ek saath karta hai, jisse AI ki training aur chalaana tez hota hai.