Direct-Manipulation Visualization of Deep Networks
This tool addresses the problem of accessibility and intuitive learning for novices in deep learning, though it is incremental as it builds on existing visualization concepts.
The authors tackled the difficulty for non-experts to understand deep learning by developing TensorFlow Playground, an interactive visualization tool that allows users to experiment with neural networks via direct manipulation, enabling them to quickly build intuition about hyperparameters and structural variations without coding.
The recent successes of deep learning have led to a wave of interest from non-experts. Gaining an understanding of this technology, however, is difficult. While the theory is important, it is also helpful for novices to develop an intuitive feel for the effect of different hyperparameters and structural variations. We describe TensorFlow Playground, an interactive, open sourced visualization that allows users to experiment via direct manipulation rather than coding, enabling them to quickly build an intuition about neural nets.