video1.0<iframe src="https://www.loom.com/embed/0512a28ce6ea4462ad60b55167165cdf" frameborder="0" width="1680" height="1260" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12601680Loomhttps://www.loom.com12601680https://cdn.loom.com/sessions/thumbnails/0512a28ce6ea4462ad60b55167165cdf-4255e2fa10a04071.gif275.043In this video, I walk you through building a neural network from scratch using only NumPy, focusing on the fundamental concepts such as neurons, activation functions, loss functions, and backpropagation. We implement various activation functions and loss measures, and I demonstrate how to create a fully connected layer and a complete deep learning framework. I also showcase training on datasets like XOR, two moons, and MNIST, achieving a test accuracy of 97.2%. I encourage you to explore the notebook and see how the framework works in practice. Let's dive in and start building!