🤖🧠 Basics of Machine Learning Assignment 🧠🤖 Task: Imagine you're a futuristic AI engineer! Your mission is to design a robot 🤖 that can learn from its environment and make intelligent decisions. 🌐🧠 📚 Research Phase: Explore key concepts: 🧠 Neural Networks 🔄 Training Data 📈 Algorithms ✏️ Design Phase: Sketch a blueprint of your robot 🤖 and label the parts that represent: Input Nodes (🔵) Hidden Layers (🟠) Output Nodes (🟢) 🛠️ Training Phase: Imagine the robot is learning to recognize emojis! Generate a dataset of at least 20 emojis with their corresponding meanings. Train your robot using a simple algorithm. Describe the steps you take. 🔄 Testing Phase: Share the results! Show what happens when your robot encounters new emojis. Does it recognize them correctly? If not, explain why. 💡 Reflection and Innovation: Share your thoughts on how this robot could be improved. What other elements or concepts from our lessons could be incorporated to make it even smarter? Remember, creativity and critical thinking are encouraged! Think beyond the basics and dream up a machine learning marvel! 🚀🌟 Due Date: [Insert Due Date] Submission Format: Please submit a report with sketches, explanations, and reflections. Have fun creating your learning machine! 🤩🚀