Building Deep Learning Library from Scratch in C | Tensor Softmax | Autograd

In this video, we continue building a deep learning library completely from scratch in C by implementing Tensor Softmax with Autograd support. We dive into how Softmax works mathematically, how tensors flow through the computation graph, and how gradients are propagated during backpropagation. This is part of an ongoing series where we build the core pieces of a neural network framework without relying on high-level libraries. In this video: Implementing Tensor Softmax in C Understanding Softmax forward pass Connecting Softmax with Autograd Gradient flow and backpropagation Building a custom deep learning engine from scratch Debugging tensor operations step by step If you're interested in low-level AI engineering, neural network internals, or learning how frameworks work under the hood, this series is for you. 👉 GitHub: https://github.com/umairgillani93/miniTorch 🌐 Connect with me: GitHub → https://github.com/umairgillani93 #DeepLearning #CProgramming #MachineLearning #Autograd #NeuralNetworks #TensorOperations #BuildInPublic