What A Neural Network Really Looks Like

Deep Learning is generally considered a black box technique, given that one cannot analyse how it is working in the back-end. The creator can create a deep neural network, compile it, and then fit it on their data - if done correctly, it will work using neurons transferring the information using different layers and all the activations and other important hyperparameters. But one can't really visualise how data is being transferred or how the model is learning. We have broken down the visualisations - how neural networks really look; or the closest they come to it, with examples from several researchers and data scientists.  Deep Learning Visualisation Models created in Python: Implementing Unity to create Neural Networks Unity is an AI platform for creating and operating rea