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Languages: Multilingual | Incl. Database, Opening Book, Fat Fritz | File Size: 1.76 GB
At the turn of the century, Fritz fascinated the chess world with victories over Garry Kasparov and then-ring World Champion Vladimir Kramnik.
The "most popular chess program" (according to German magazine Der Spiegel) offers you everything you will need as a dedicated chess enthusiast, with innovative training methods for amateurs and professionals alike, plus access to the full suite of ChessBase web apps, including the Playchess playing server.In December 2017, a press release from Google shook the chess world to the core: its subsidiary Deep Mind built a neural network, dubbed Alpha Zero, which "learned" chess solely by playing millions of games against itself, yet was strong enough to beat Stockfish 8, a leading chess ee. This news was sobering and fascinating at the same . Sobering in the sense that the decades old tradition of chess programming had been relegated to the shadows by a self-learning system. Fascinating because it was possible to hope that one could learn really new stuff about chess from this radical approach.
Nobody had expected that a cooperative effort by chess developers would soon make this technology generally available. The Open-Source- Project LCZero began to retrace the trail blazed by Google and in the mean has acquired considerable strength. Suddenly a chess ee was available whose different analysis results provided new ideas on all fronts. LCZero too follows the Google philosophy, that the neural network only learns from games played against itself. The idea soon came to use our existing base of hundreds of thousands of good grandmaster games to shorten this learning process. This approach was followed logically by our longserving technical editor Albert Silver and based on the LCZero technology he trained a neural network for a whole year with GM games.
The result is so convincing that we are now publishing it as "Fat Fritz" along with Fritz17. As things stand, Fat Fritz defeats in a direct comparison all traditional chess programs and even LCZero. The moves suggested in analysis are often extremely human and planned. With a painfully practical limitation: Fat Fritz needs (like LCZero) a very high performance Nvidia graphics card ("GPU") in order to achieve its full playing strength. Nevertheless, here for the rst in many years we can record a real breakthrough in chess programming. Fat Fritz and LCZero are already bning to change opening theory.
Every average human brain is light years ahead of neural networks when it comes to mastering everyday situations. However, it is in some ways tiresome imprinting on one's own neural network knowledge about opening Now with "Fat Fritz" * : An extremely strong neural net ee inspired by Alpha Zero, which produces human-like strat analyses of world class quality.
- Improved Fritz 17 ee with traditional brute force search and evaluations technology
- Convenient one-click management of your opening repertoires
- Opening training with success control, measure your progress with e-learning technology
- Hundreds of ready-made repertoires included "Blitz & Train": Fritz generates tactical puzzles from your own blitz games
- Perfect analysis of endgames with up to seven pieces, access to "Let's Check" Improved 3D chess boards thanks to real- ray tracing**
- Minimum (without Raytracing and FatFritz): Dual Core, 2 GB RAM, Windows 7 or 8.1,
- DirectX11, graphics card with 256 MB RAM, DVD-ROM-drive, Windows Media Player 9 and internet access.
- PC Intel i5 or AMD Ryzen 3 (Quadcore), 8 GB
- RAM, Windows 10 with 64-Bit (current version), NVIDIA RTX graphic card with 6 GB RAM and current driver (FatFritz on older NVIDIA cards or older graphic cards: drastic loss of performance, on CPU only for demonstration purposes) , Windows Media Player 11, (DVD-ROM drive)
English, German, French, Spanish, Italian
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