RobinRaina Building Training NeuralNetwork Excel Python скачать в хорошем качестве

RobinRaina Building Training NeuralNetwork Excel Python

Mastering the XOR Problem: A Deep Dive into Neural Network Mechanics 🧠💡 "𝑫𝒓𝒐𝒑 𝒂𝒏 𝒆𝒎𝒂𝒊𝒍 𝒐𝒓 𝑵𝒂𝒎𝒆 𝒊𝒏 𝒕𝒉𝒆 𝒄𝒐𝒎𝒎𝒆𝒏𝒕𝒔 𝒊𝒇 𝒚𝒐𝒖'𝒅 𝒍𝒊𝒌𝒆 𝒕𝒐 𝒈𝒆𝒕 𝒕𝒉𝒆 𝒘𝒐𝒓𝒌𝒊𝒏𝒈 𝑬𝒙𝒄𝒆𝒍 𝒂𝒏𝒅 𝒔𝒆𝒆 𝒕𝒉𝒆 𝒘𝒐𝒓𝒌𝒊𝒏𝒈 𝒐𝒇 𝑨𝒓𝒕𝒊𝒇𝒊𝒄𝒊𝒂𝒍 𝑵𝒆𝒖𝒓𝒂𝒍 𝑵𝒆𝒕𝒘𝒐𝒓𝒌!" It’s often the first challenge in neural network fundamentals, and I’m excited to share my end-to-end solution for the classic XOR problem! I've moved beyond just the theory and built a fully functional model from scratch, using familiar tools to illustrate every step: 📉 The Core Mechanism: Forward & Backward Feed: An Excel sheet meticulously details the calculations for both forward propagation (predictions) and backward propagation (error correction) using the backpropagation algorithm. Epoch Analysis: The Excel demonstrates precisely how the total error systematically reduces with each training epoch. It’s fascinating to watch the network learn in real-time! Visualization: A Python script was used to visualize the learning curve, clearly showing the error convergence. This project was a great exercise in solidifying the foundational math and logic behind how neural networks actually learn. Take a look at the attached visuals (screenshots of the Excel sheets and the Python plot) to see the process in action. I'm happy to share the files with anyone interested in digging into the mechanics! #AI #MachineLearning #DataScience #NeuralNetworks #Backpropagation #XOR #Excel #Python #Tech #Learning #DeepLearning #DataAnalytics