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100 Middlegame FENs + Openings

 Below is a large set of middlegame FEN positions (100 total) along with the opening name they typically arise from. These are not exact from specific games, but they are realistic middlegame structures tied to common openings—perfect for training. ♟️ 100 Middlegame FENs + Openings https://lichess.org/training/masterVsMaster 1–10: Open Games (1.e4 e5) r1bq1rk1/ppp1bppp/2n2n2/3pp3/3P4/2PBPN2/PP3PPP/RNBQ1RK1 w - - 0 8 → Ruy Lopez r2q1rk1/pppb1ppp/2npbn2/3Np3/2P1P3/2N5/PP2BPPP/R1BQ1RK1 w - - 0 9 → Italian Game r1bqk2r/pppp1ppp/2n2n2/4p3/2BPP3/5N2/PPP2PPP/RNBQ1RK1 w kq - 0 6 →   Scotch Game r1bq1rk1/ppp2ppp/2n2n2/3pp3/2BPP3/2P2N2/PP3PPP/RNBQ1RK1 w - - 0 7 → Two Knights Defense r1bq1rk1/ppp2ppp/2n2n2/3pp3/3PP3/2N2N2/PPP2PPP/R1BQ1RK1 w - - 0 7 → Vienna Game rnbq1rk1/pppp1ppp/5n2/4p3/2BPP3/5N2/PPP2PPP/RNBQ1RK1 w - - 0 5 → Bishop’s Opening r1bq1rk1/ppp1bppp/2n2n2/3pp3/3PP3/2PB1N2/PP3PPP/RNBQ1RK1 w - - 0 8 → Giuoco Piano r1bq1rk1/ppp2ppp/2...
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  Opening Moves FEN after White’s move English Opening (Symmetrical) 1.c4 c5 2.Nc3 Nc6 r1bqkbnr/pp1ppppp/2n5/2p5/2P5/2N5/PP1PPPPP/R1BQKBNR w KQkq - 2 3 OPEN ENGLISH Reti Opening 1.Nf3 Nf6 2.c4 g6 3.b3 rnbqkb1r/pppppp1p/5np1/8/2P5/1P3N2/P1P1PPPP/RNBQKB1R b KQkq - 0 3 Bird’s Opening 1.f4 d5 rnbqkbnr/ppp1pppp/8/3p4/5P2/8/PPPP2PP/RNBQKBNR w KQkq - 0 2 King’s Fianchetto 1.g3 d5 2.Bg2 Nf6 rnbqkb1r/pppppppp/5n2/3p4/8/6P1/PPPPPP1P/RNBQKBNR w KQkq - 1 3 Larsen’s Opening 1.b3 e5 2.Bb2 Nc6 r1bqkbnr/pppp1ppp/2n5/4p3/8/1P6/PBPPPPPP/RN1QKBNR b KQkq - 2 2 Opening Moves FEN after White’s move English Opening (Symmetrical) 1.c4 c5 2.Nc3 Nc6 r1bqkbnr/pp1ppppp/2n5/2p5/2P5/2N5/PP1PPPPP/R1BQKBNR w KQkq - 2 3 Reti Opening 1.Nf3 Nf6 2.c4 g6 3.b3 rnbqkb1r/pppppp1p/5np1/8/2P5/1P3N2/P1P1PPPP/RNBQKB1R b KQkq - 0 3 Bird’s Opening 1.f4 d5 rnbqkbnr/ppp1pppp/8/3p4/5P2/8/PPPP2PP/RNBQKBNR w KQkq - 0 2 King’s Fianchetto 1.g3 d5 2.Bg2 Nf6 rnbqkb1r/pppppppp/5n2/3p4/8/6P1/PPPPPP1P/RNBQKBNR w KQkq - 1 3 Larsen’s Openin...
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CNNS Convolutional Neural Network

 “CNNs” usually refers to Convolutional Neural Networks , a concept from Machine Learning and Deep Learning . A Convolutional Neural Network (CNN) is a type of artificial neural network designed especially for processing images and visual data . 🔍 What makes CNNs special? Unlike regular neural networks, CNNs are built to automatically detect patterns like: edges shapes textures objects (like faces, cars, etc.) They do this using layers called convolutional layers , which “scan” an image piece by piece. 🧠 Simple way to think about it Imagine looking at a photo: First, you notice simple things (lines, colors) Then, shapes (circles, corners) Finally, full objects (a dog, a person) CNNs work in a similar step-by-step way. 📦 Common uses CNNs are widely used in: Image recognition (e.g., identifying objects in photos) Facial recognition Medical image analysis (like detecting tumors) Self-driving cars (detecting roads, signs, pedestrians) ...
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