EmojiIntelligence
Discover the implementation of a neural network using Swift in a macOS environment, focusing on interpreting emoji inputs through machine learning. This open-source project features a three-layer architecture that processes 64 binary inputs from pixel data, using a sigmoid function for enhanced computational performance. Aiming to make neural networks approachable, this project showcases efficient binary number processing and fosters innovation. The project is accessible on GitHub under an MIT License.
