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The Rossolimo - White's early 0-0 and a3,b4 plan

Hey champions! 

I've added around 1-hour material in the "Nightmare of Rossolimo" course. 

Both are adv. sections, but this one I absolutely recommend to watch. 
There are included model games, and after watching these sections, you'll have a much better understanding of the Rossolimo positions. 

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Stockfish on Steroids

If I read this right, Stockfish now has a NN version.  (That means it's now LC0-like).  There has been no update to normal Stockfish for a while now and it appears all the work is now on the NN.  When they tested it, instead of normal +2.3 rating point improvements, they got something like +90  !!!   


*******************BEGIN CUT/PASTE********************


Author: nodchip
Date: Thu Aug 6 16:37:45 2020 +0200
Timestamp: 1596724665

Add NNUE evaluation

This patch ports the efficiently updatable neural network (NNUE) evaluation to Stockfish.

Both the NNUE and the classical evaluations are available, and can be used to
assign a value to a position that is later used in alpha-beta (PVS) search to find the
best move. The classical evaluation computes this value as a function of various chess
concepts, handcrafted by experts, tested and tuned using fishtest. The NNUE evaluation
computes this value with a neural network based on basic inputs. The network is optimized
and trained on the evalutions of millions of positions at moderate search depth.

The NNUE evaluation was first introduced in shogi, and ported to Stockfish afterward.
It can be evaluated efficiently on CPUs, and exploits the fact that only parts
of the neural network need to be updated after a typical chess move.
[The nodchip repository](https://github.com/nodchip/Stockfish) provides additional
tools to train and develop the NNUE networks.

This patch is the result of contributions of various authors, from various communities,
including: nodchip, ynasu87, yaneurao (initial port and NNUE authors), domschl, FireFather,
rqs, xXH4CKST3RXx, tttak, zz4032, joergoster, mstembera, nguyenpham, erbsenzaehler,
dorzechowski, and vondele.

This new evaluation needed various changes to fishtest and the corresponding infrastructure,
for which tomtor, ppigazzini, noobpwnftw, daylen, and vondele are gratefully acknowledged.

The first networks have been provided by gekkehenker and sergiovieri, with the latter
net (nn-97f742aaefcd.nnue) being the current default.

The evaluation function can be selected at run time with the `Use NNUE` (true/false) UCI option,
provided the `EvalFile` option points the the network file (depending on the GUI, with full path).

The performance of the NNUE evaluation relative to the classical evaluation depends somewhat on
the hardware, and is expected to improve quickly, but is currently on > 80 Elo on fishtest:

60000 @ 10+0.1 th 1
ELO: 92.77 +-2.1 (95%) LOS: 100.0%
Total: 60000 W: 24193 L: 8543 D: 27264 Elo +92.77
Ptnml(0-2): 609, 3850, 9708, 10948, 4885

40000 @ 20+0.2 th 8
ELO: 89.47 +-2.0 (95%) LOS: 100.0%
Total: 40000 W: 12756 L: 2677 D: 24567 Elo +89.47
Ptnml(0-2): 74, 1583, 8550, 7776, 2017

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Right now it is being tested on https://tcec-chess.com/#/    and it is tearing up the field.  Get ready to switch over to $1400 video cards, but there is a new sheriff in town and it is taking names and kicking butts.  

Note this timeframe.  Chess engines just took a giant leap.  Aug 2020.

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