mlsanityData to 14 Oct 2026

Direct-Manipulation Visualization of Deep Networks

arXiv 1708.03788 ↗First posted 12 Aug 2017cs.LG cs.HC stat.MLcited by 28

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Abstract (arXiv)

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.

Key facts. Cited by 28 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Aug 2017.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 7; 2022: 4; 2023: 6; 2024: 5; 2025: 1; 2026: 5.

28 papers.

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  1. 2021M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysiscited by 29
  2. 2023Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiencescited by 21
  3. 2023Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusioncited by 17
  4. 2024Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentationcited by 10
  5. 2023GAM Coach: Towards Interactive and User-centered Algorithmic Recoursecited by 9
  6. 2023Augmented Math: Authoring AR-Based Explorable Explanations by Augmenting Static Math Textbookscited by 7
  7. 2021LossPlot: A Better Way to Visualize Loss Landscapescited by 5
  8. 2021Interactive Analysis of CNN Robustnesscited by 4
  9. 2022Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveriescited by 3
  10. 2024EL-VIT: Probing Vision Transformer with Interactive Visualizationcited by 3
  11. 2021From Tinkering to Engineering: Measurements in Tensorflow Playgroundcited by 2
  12. 2022FuNNscope: Visual microscope for interactively exploring the loss landscape of fully connected neural networkscited by 2
16 more
  1. 2023Visualization for Recommendation Explainability: A Survey and New Perspectivescited by 2
  2. 2024Seizing the Means of Production: Exploring the Landscape of Crafting, Adapting and Navigating Generative AI Models in the Visual Artscited by 2
  3. 2023Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbitscited by 1
  4. 2025Quantum Machine Learning Playgroundcited by 1
  5. 2021Model-agnostic interpretation by visualization of feature perturbationscited by 0
  6. 2021On the Evolution of Neuron Communities in a Deep Learning Architecturecited by 0
  7. 2021Deep Learning Image Recognition for Non-imagescited by 0
  8. 2022PREVIS -- A Combined Machine Learning and Visual Interpolation Approach for Interactive Reverse Engineering in Assembly Quality Controlcited by 0
  9. 2022Interactive Visual Feature Searchcited by 0
  10. 2024Interactive Simulations of Backdoors in Neural Networkscited by 0
  11. 2024Sparsest Models Elude Pruning: An Expos'e of Pruning's Current Capabilitiescited by 0
  12. 2026Federated Learning Playgroundcited by 0
  13. 2026Visualization of Machine Learning Models through Their Spatial and Temporal Listenerscited by 0
  14. 2026Beyond Chat and Clicks: GUI Agents for In-Situ Assistance via Live Interface Transformationcited by 0
  15. 2026Web-Gewu: A Browser-Based Interactive Playground for Robot Reinforcement Learningcited by 0
  16. 2026KANLab: TensorFlow Playground for Kolmogorov-Arnold Networkscited by 0