ConvNetJS vs. DeepPy
A side-by-side comparison based on G2 review data.
| Metric | ConvNetJS | DeepPy |
|---|---|---|
| Overall rating | 3.8 | 4.1 |
| Review count | 13 | 12 |
| Ease of use | 9.4 | 8.6 |
| Ease of setup | 10.0 | 9.3 |
| Quality of support | 8.3 | 7.4 |
| Meets requirements | 9.1 | 7.9 |
| NPS | 38.461538 | 25 |
| Small Business | 38.5% | 66.7% |
| Mid-Market | 23.1% | 16.7% |
| Enterprise | 38.5% | 16.7% |
| Total page views | 19 | 12 |
| Total LLM citations | 0 | 0 |
ConvNetJS
ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in a browser.
DeepPy
DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming based on NumPy's ndarray,has a small and easily extensible codebase, runs on CPU or Nvidia GPUs and implements the following network architectures feedforward networks, convnets, siamese networks and autoencoders.