If Attention and Transformers are replacing CNNs
"If Attention and Transformers are replacing CNNs , Then should I just focus on learning Attention and Transformers ?" Are CNNs still important? ✅ YES CNNs are still very widely used , especially when you have smaller datasets, faster needs, or mobile/embedded devices. Are Attention and Transformers the future? ✅ YES For large datasets and global reasoning tasks, Transformers are becoming the gold standard . Should you learn CNN first? ✅ YES (recommended) CNNs teach you how machines learn patterns like edges, textures — this helps you better understand why attention was needed later. Should you learn Attention and Transformers next? ✅ Absolutely Attention and Transformers are the current and future trend — especially for big vision models (ViT, Swin Transformer, etc.) and all new AI research. ✅ CNNs are like building strong local eyes — they see small parts carefully and build knowledge up . ✅ Attention and Transformers are like building a smart brain — they se...