Скачать или смотреть Build a Neural Network in C++ From Scratch | Robot Collision Prediction #04 forward propagation

🔧 Build a Neural Network in C++ From Scratch | Robot Collision Prediction - e04
Welcome back to the series! In this video, we dive into building the core of our neural network — the NeuralNetwork class — from scratch in C++.

We’ll walk through how to:

Connect layers in a multi-layer network

Initialize weight matrices with He initialization

Implement the forward pass for prediction

Set up a simple predict() method for inference


By the end of this video, you'll understand how to pass input data through your custom-built neural network — laying the foundation for collision prediction in robotics.

🧠 Topics Covered:

Layer and weight management

He initialization technique

Forward propagation logic

Clean, modular C++ code using Layer.hpp and Matrix.hpp


💻 Whether you're building AI for robotics or just want to master neural networks in low-level languages, this is the series for you.

👍 If you’re enjoying this journey into C++ and AI, don’t forget to like, comment, and subscribe!

📥 You can download the code on my GitHub: https://github.com/rebwarai/Build-a-N...

📺 Watch the full series:    • Build a Neural Network in C++ From Scratch...  
📬 Stay tuned — next up: training the network with backpropagation and gradient computation!

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