Deep Learning with Shogi AI on Mac and Google Colab Chapter 12 3

TOP PAGE

Evaluation value

The relationship between the evaluation value and the winning percentage is expressed by the following formula. It is an ordinary sigmoid function. image.png r: Win rate x: Evaluation value a: Constant. The larger a is, the steeper the change in the winning percentage per evaluation value. It seems that a = 1/600 is often used in Shogi AI. In the USI protocol, it seems that the value of one step is expressed as an evaluation value of 100 points. When a = 1/600, it seems that one step will be 100 points. image.png image.png

Recommended Posts

Deep Learning with Shogi AI on Mac and Google Colab Chapter 11
Deep Learning with Shogi AI on Mac and Google Colab Chapter 8
Deep Learning with Shogi AI on Mac and Google Colab Chapter 12 3
Deep Learning with Shogi AI on Mac and Google Colab Chapter 7
Deep Learning with Shogi AI on Mac and Google Colab Chapter 10
Deep Learning with Shogi AI on Mac and Google Colab Chapter 7 5-7
Deep Learning with Shogi AI on Mac and Google Colab Chapter 9
Deep Learning with Shogi AI on Mac and Google Colab Chapter 12 3
Deep Learning with Shogi AI on Mac and Google Colab Chapter 12 3
Deep Learning with Shogi AI on Mac and Google Colab Chapter 12 1-2
Deep Learning with Shogi AI on Mac and Google Colab Chapter 12 3
Deep Learning with Shogi AI on Mac and Google Colab Chapter 12 3 ~ 5
Deep Learning with Shogi AI on Mac and Google Colab Chapter 7 9
Deep Learning with Shogi AI on Mac and Google Colab Chapter 8 5-9
Deep Learning with Shogi AI on Mac and Google Colab Chapter 8 1-4
Deep Learning with Shogi AI on Mac and Google Colab Chapter 12 3
Deep Learning with Shogi AI on Mac and Google Colab Chapter 7 8
Deep Learning with Shogi AI on Mac and Google Colab Chapter 7 1-4
Deep Learning with Shogi AI on Mac and Google Colab
Deep Learning with Shogi AI on Mac and Google Colab Chapters 1-6
Learn with Shogi AI Deep Learning on Mac and Google Colab Use Google Colab
Deep Learning on Mac and Google Colab Words Learned with Shogi AI
Machine learning with Pytorch on Google Colab
About learning with google colab
Steps to quickly create a deep learning environment on Mac with TensorFlow and OpenCV
Play with Turtle on Google Colab
Use MeCab and neologd with Google Colab
"Learning word2vec" and "Visualization with Tensorboard" on Colaboratory
Deep Learning from scratch The theory and implementation of deep learning learned with Python Chapter 3
Install selenium on Mac and try it with python
Deep learning image analysis starting with Kaggle and Keras
[AI] Deep Metric Learning
Extract music features with Deep Learning and predict tags
"Deep Learning from scratch" Self-study memo (No. 14) Run the program in Chapter 4 on Google Colaboratory
[Google Colab] How to interrupt learning and then resume it
Recognize your boss and hide the screen with Deep Learning
An error that stumbled upon learning YOLO on Google Colab
Machine learning environment settings based on Python 3 on Mac (coexistence with Python 2)
HIKAKIN and Max Murai with live game video and deep learning
Easy deep learning web app with NNC and Python + Flask
Try deep learning with TensorFlow
Deep Kernel Learning with Pyro
Plotly Dash on Google Colab
Try Deep Learning with FPGA
Catalina on Mac and pyenv
Generate Pokemon with Deep Learning
Create AtCoder Contest appointments on Google Calendar with Python and GAS
Build a Python environment on your Mac with Anaconda and PyCharm
Error and solution when installing python3 with homebrew on mac (catalina 10.15)
How to run Jupyter and Spark on Mac with minimal settings
The strongest way to use MeCab and CaboCha with Google Colab
[Reading Notes] Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow Chapter 1
Install lp_solve on Mac OS X and call it with python.
Try Deep Learning with FPGA-Select Cucumbers
Cat breed identification with deep learning
Deep Learning / Deep Learning from Zero Chapter 3 Memo
tensor flow with anaconda on mac
MQTT on Raspberry Pi and Mac
Make ASCII art with deep learning
Deep Learning / Deep Learning from Zero 2 Chapter 5 Memo
Try deep learning with TensorFlow Part 2