创建用于测试的数据集，并实现实时数字识别的实时绘图，使模型能够及时提供响应，实现97%的准确性。我的团队使用70000个数据点的定制MNIST数据集训练模型，并评估其准确性，实现了97.5%的准确率。
Created a dataset for testing purposes and implemented live drawings for real-time digit recognition, enabling the model to provide responses promptly achieving accuracy of 97%. My team trained a model using a custom MNIST dataset of 70,000 data points and evaluated its accuracy, achieving a 97.5% accuracy rate. (2024-05-25, Others, 0KB, 下载0次)
用于数据集maelstrom-a1的climetlab的数据集插件，
A dataset plugin for climetlab for the dataset maelstrom-a1, (2023-10-18, Jupyter Notebook, 0KB, 下载0次)