How to Build a 2000 ELO Chess AI with Deep Learning
learn how to build and train a convolutional neural network using the PyTorch deep learning library.
kaggle.json file and the authentication process : https://www.kaggle.com/docs/api
kaggle chess dataset:
https://www.kaggle.com/datasets/arevel/chess-games
Видео How to Build a 2000 ELO Chess AI with Deep Learning канала Moran Reznik
kaggle.json file and the authentication process : https://www.kaggle.com/docs/api
kaggle chess dataset:
https://www.kaggle.com/datasets/arevel/chess-games
Видео How to Build a 2000 ELO Chess AI with Deep Learning канала Moran Reznik
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Leave boring looking tables behind you with this simple function | notebook included12 PySpark Functions to set you apart from the competitionInformation Theory - Entropy, KL divergence, Cross Entropy and more.16 Probability Distributions by their story [Must-Know]I Built The Pokédex with Plotly and Dash! [tutorial]Building a Restful API with django tutorial | 2022The Travelling Salesman Problem | Dynamic Programming Part 30-1 Knapsack with memoization | Dynamic Programming Part 2recursion, memoization and looping | Dynamic Programming Part 1HTML & CSS Crash Course for Data ScientistsControlling GANs through PCA conditioningThe ONLY PySpark Tutorial You Will Ever Need.StyleGAN 1 Guide [Theory and PyTorch Code, ProGAN included]WGAN with Gradient Penalty and Attention- theory, implementation and results!Music Generation With Transformers Walkthrough! [DETAILED]Complete Variational Autoencoder Walkthrough! theory, code and results