Best Place to Learn Neural Network: Interactive Tensorflow Playground

Tinker with Neural Network in Your Browser!

We often face the challenges in explaining what’s going inside the deep neural network model, considered a black box model, and to understand it better, I would like to share my demo of Tensorflow Neural Network Playground, Google’s open-source work that has been very well-known for explaining how neural network in the interactive way. Please follow the link HERE

Tensorflow - Neural Network Playground

Figure 1: an interactive in-browser visualization of neural networks allows us to specify learning rate, activation function, regularization method, and problem type, Image Source: Tensorflow Neural Network Playground

Important Deep Learning Glossary

It’s crucial for us all to understand the building blocks of the deep learning model, for instance, epoch, learning rate, activation, regularization, regularization rate, and problem type etc before proceeding to the demo. In brief, the neural network (also the “perceptron”) consists of, at least, three layers of nodes: (1) an input layer, (2) a hidden layer and (3) an output layer. If the neural network has multiple hidden layers, we call it the ‘deep neural network’. The model is very popular for applications in machine learning…