My Old MacBook Air Couldn't Handle It — So I Used Google Colab to Train an AI＃1
The author shares their experience of using Google Colab to train an AI for an offline card game. They faced limitations with their old MacBook Air and sought a solution that would allow for reinforcement learning. The article details the process of setting up Google Colab and integrating it with Google Drive for the training tasks.
- ▪The author wanted to train an AI to play a card game but faced hardware limitations with their old MacBook Air.
- ▪Google Colab provides a free Python execution environment that allows users to run heavy workloads without local hardware constraints.
- ▪The article explains how to mount Google Drive in Colab and execute a Rust binary for training the AI.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3851832) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } hiyoyo Posted on May 21 My Old MacBook Air Couldn't Handle It — So I Used Google Colab to Train an AI＃1 #ai #python #googlecolab #rust Introduction I recently booted up an offline card game I used to love — and couldn't clear the hardest difficulty anymore. I used to be able to beat it.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
