Exploring Neural Networks Visually in the Browser

While teaching myself the basics of neural networks, I was finding it hard to bridge the gap between the foundational theory and a practical "feeling" of how neural networks function at a fundamental level. I learned how pieces like gradient descent and different activation functions worked, and I played with building and training some networks in a Google Colab notebook. Modern toolkits like Tensorflow handle the full pipeline from data preparation to training to testing and everything else you can think of - all behind extremely high-level, well-documented APIs. The power of these tools is obvious. Anyone can load, run, and play with state of the art deep learning architectures in GPU-accelerated Python notebooks instantly in the web browser.