说明：  探索此MNIST手写分类项目，实现97.61%的准确性。通过relu和softmax激活、Adam优化器和稀疏分类交叉熵损失实现。深入研究代码，以深入了解模型的性能。
(Explore this MNIST Handwritten Classification project achieving 97.61% accuracy. Implemented with relu and softmax activations, Adam optimizer, and sparse_categorical_crossentropy loss. Dive into the code for insights into the model s performance.)