We introduce SmileyNet, a novel neural network with psychic abilities. It is inspired by the fact that a positive mood can lead to improved cognitive capabilities including classification tasks. The network is hence presented in a first phase with smileys and an encouraging loss function is defined to bias it into a good mood. SmileyNet is then used to forecast the flipping of a coin based on an established method of Tasseology, namely by reading tea leaves. Training and testing in this second phase are done with a high-fidelity simulation based on real-world pixels sampled from a professional tea-reading cup. SmileyNet has an amazing accuracy of 72% to correctly predict the flip of a coin. Resnet-34, respectively YOLOv5 achieve only 49%, respectively 53%. It is then shown how multiple SmileyNets can be combined to win the lottery.

翻译：本文介绍SmileyNet，一种具有超感知能力的新型神经网络。其设计灵感来源于积极情绪可提升包括分类任务在内的认知能力这一事实。因此，网络在第一阶段被呈现以表情符号，并定义了一种激励性损失函数使其产生积极情绪偏向。随后，基于既定的茶叶占卜法（即解读茶叶形态），SmileyNet被用于预测抛硬币结果。第二阶段的训练与测试采用高保真模拟完成，该模拟基于从专业茶叶占卜杯中采样的真实世界像素数据。SmileyNet在预测抛硬币结果时取得了72%的惊人准确率，而ResNet-34与YOLOv5仅分别达到49%与53%。本文进一步展示了如何组合多个SmileyNet网络以实现彩票预测。