Welcome to Frog Brain, a challenging neural network simulation game. In this world, you’ll take on the role of a neural network designer, using your creativity and logical thinking to build neural networks and solve a series of complex scenario challenges.
Frog Brain 在线人数与 Steam 图表
实时
在线人数024 小时 —
24 小时峰值玩家0今日最高样本
30 天峰值玩家0平均 —
历史峰值玩家0自开始追踪以来
30 天游玩时长—估算值
Steam 图表 · 30 天在线人数等待采样
正在收集每日样本尚未存储该游戏的每日样本。积累最初几天的历史数据后,曲线就会出现。
24 小时—7 天—趋势持平
评测1 篇评测
0.0%1 user reviews
0 篇好评1 篇差评
推荐数—评分
媒体
8 张图片
游戏详情
关于这款游戏
游戏
发行日期2025年2月13日已登陆 Steam 1 年
开发者KOERRIVA发行商KOERRIVA类型策略独立模拟休闲
9成就—
关于这款游戏
玩家数更新于 9月18日 15:18 UTC · 商店数据更新于 9月22日 20:29 UTC · 来源:SteamWebAPI
最低配置推荐配置系统Windows 10Windows 10 above处理器2 GHz processor4 GHz processor and above显卡Support for Vulkan 1.2相同内存1024 MB RAM2048 MB RAM存储空间2 GB available space2 MB available space
关于 Frog Brain
Welcome to Frog Brain, a challenging neural network simulation game. In this world, you’ll take on the role of a neural network designer, using your creativity and logical thinking to build neural networks and solve a series of complex scenario challenges.
The core gameplay revolves around a powerful neural network editor, where players can use the following types of nodes to build their network:
- Input Nodes: Read activation signals from the scene, providing the raw data needed by the network.
- Neuron Nodes: Simulate the function of neurons, transmitting and processing signals.
- Output Nodes: Output the processed signals back into the scene to control the task.
- Universal Nodes: Provide various input signals, including network, file, and keyboard inputs, to help you tackle different challenges.
In each level, you’ll need to cleverly connect these nodes and design the optimal neural network to achieve the task goals. Each scenario is filled with unknowns and challenges, testing your understanding of neural network structures and your ability to fine-tune them.
Frog Brain is not only a challenge to your thinking and creativity but also a hands-on exploration of neural network principles. Can you find the best solution in each challenging scenario and become a master of neural network design? The challenge awaits you!