Thank you for using my app, d7urban san!

Could you tell me in detail?
Of cource, you can PASS in game mode by pass button in bottom toolbar.
If you say about study mode, you need to make an SGF which you want by other SGF editors.

Thank you!

I love your app! AlphaGo for the couch.


Review added.

_________________
- Brady
Want to see videos of low-dan mistakes and what to learn from them? Brady's Blunders

Hmm, I think I did a bad job explaining what I'm looking for. If I plug in my iPhone with the app running and in the foreground, the screen locks, and processing stops.

What I like is the champion go approach, where it will automatically advance through the game, analyzing each move, then present me with results that I can review.

_________________
Occupy Babel!

wineandgolover san,

Thank you for your love^^ and review for my app.

Just now I applied the new version(2.1.0).
I hope that you will enjoy a new feature.

hyperpape san,

I understood your request right now^^;
I will consider a kind of bulk analysis of a SGF.

Thank you for your request!

Hello y_ich

Very nice programm, but I founded some buggs with shichos can you fixed it ?

Regards

Fafa san,

Thank you for purchasing my app!
And I am sorry about Shicho problem.
It is common for all AlphaGo Zero type AIs.
The more playouts, the less mistakes of Shicho.

The latest iPad Air and mini are powered by A12 processors.
Thanks to Neural Engine, they achieve more than 150 nps when you use ELFv1 weight and mistakes of simple Shichos will disappear.

I’ll vouch for this. I borrowed my wife’s brand new iPad mini, and now she’s struggling to pry it out of my hands. It flies! Perfect for late night copying sgfs of recent pro games, and looking at them in an entirely new light. Much more convenient than bring a hot laptop to bed!

Also great for playing on planes, no internet required.

_________________
- Brady
Want to see videos of low-dan mistakes and what to learn from them? Brady's Blunders

The version 3 was released today!

I hope that you guys will enjoy size 9 and 13 games.

And finally you can download your own weights on the Internet.
I prepared two weights on the app repository (https://github.com/new3Rs/a_master_of_go).
Why don't you try them?

Thank you!


P.S.
wineandgolover san,

I really enjoyed your comment and tweeted Japanese translation.
Japanese users also seem to enjoy it.
Please get along with your wife^^

Hello

When playing handicap games , is there a way to select where you want the handicap stones to be at , like in Chinese rules.
Thanks

Kaliwan san,

There are no simple ways but the app accepts Any SGF as white turn if you have black handicap stones(AB property).
1. edit an SGF as you like on your SGF editor.
2. copy the content if you use macOS or change file extension to txt and send it to iOS, open it and "copy" the content on "Memo" app.
3. "paste for Game" on A Master of Go.

Thank you for using the app!

Hi, just bought the app but a little confused about using. I am using an iphone X with the A11 chip so how to set the app for the best study mode? like the network , weight file? Thanks.

elliotdong san,

Thank you for purchasing my app!

All weights which the app includes are super-human level but they have a ladder problem when playouts per move are less than several hundreds.
So I recommend the default LeelaZero_15b weight, which is the fastest one, for A11 user.
It is also good to leave engine parameter setting as default(AZ/Phoenix).

About number of threads and low thread priority, it depends how much you care the battery.
If you want the best performance, set number of threads to maximum, and turn off low thread priority.

I hope that you will enjoy my app.

really thanks for the reply. and what about the A12x chips setting on Ipad pro for the best performance?

elliotdong san,

For A12X, I think that currently ELF OpenGo v1 may be strongest taking nps into account.

But I recommend you to select a weight according to its characteristics rather than strength.
If you like deciding a situation hardly, I recommend ELF OpenGo v1 and v2.
If you like deciding a situation softly, I recommend Leela Zero 15b, Leela Zero 40b, and Leela Master.
Leela Zero 40b and Leela Master is available as a downloadable weight on https://github.com/new3Rs/a_master_of_go.
If you like komoku(3-4) rather than hoshi(4-4) for the first move in a corner, I recommend minigo v17, which is also available on https://github.com/new3Rs/a_master_of_go.

Thank you!

It would be great if the info from https://www.reddit.com/r/cbaduk/comment ... _of_lzero/ could actually be used to create a list to pick weights based on the desired playing strength.

Are there any plans to incorporate Kata Go into this app? The additions of variable komi, score estimation, and improved handicap play would be awesome! Thanks.

_________________
- Brady
Want to see videos of low-dan mistakes and what to learn from them? Brady's Blunders

wineandgolover san,

Thank you for your continuous interest in my app!

I am also interested in porting KataGo into "A Master of Go" and trying it.
But I think that I need time.
An uncertain point is whether Core ML 3 can support KataGO NN or not.
Current Core ML 2 does not support KataGo NN.


For my understanding of KataGo, I have mocked up a Lizze with KataGo on Web.

https://github.com/new3Rs/react-lizzie

You can play with it until I will port KataGo into "A Master of Go".

Enjoy!
(Caveat: "React Lizzie with WASM KataGo" is just a mock-up. It is not a stable app.)

Hi y_ich,

You definitely have my ongoing support. At this year's Go Congress, I had people approaching me to see what Brady-sensei thought of their games. Of course this meant "Can I see what Master of Go thinks?"

I am interested and saddened that Leela Zero works in ML2 or 3, and that KataGo doesn't. Is it just a different language, or a completely different implementation approach? I wish you luck in figuring it out and finding a solution.

I am delighted to see that you are continuing to improve your app. I will be patient. Thanks again.

_________________
- Brady
Want to see videos of low-dan mistakes and what to learn from them? Brady's Blunders

wineandgolover san,

Thank you for promoting my app in the Go Congress^^

KataGo uses an operation of Neural Network which Core ML 2 does not support.
And KataGo needs more information(ladders, liberties, etc.) for NN.

I will study them as well as KataGo's advantages themselves.

Thank you.