Report on last executions.
77% 2018-12-10
| index | coverage | exe time | last execution | name | title | success | time | nb cells | nb runs | nb valid |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 100% | 10.057 | 2018-12-10 | 101/100_Logistic_IRIS.ipynb | 100 - Logistic Regression with IRIS and pytorch | True | 13.120 | 9 | 9 | 9 |
| 1 | 100% | 12.880 | 2018-12-10 | 101/110_Perceptron_Iris.ipynb | 110 - First percepton with pytorch | True | 15.199 | 9 | 9 | 9 |
| 2 | 100% | 199.129 | 2018-12-10 | 101/200_Perceptron_MNIST.ipynb | 200 - First percepton with pytorch | True | 202.408 | 14 | 14 | 14 |
| 3 | 100% | 199.155 | 2018-12-10 | 101/210_Convolution_MNIST.ipynb | 210 - First convolution network (CNN) with pytorch | True | 201.789 | 13 | 13 | 13 |
| 4 | 100% | 739.526 | 2018-12-10 | 101/300_Convolution_CIFAR10.ipynb | 300 - Convolution network, gradient, tweaks, with pytorch | True | 743.450 | 12 | 12 | 12 |
| 5 | 0% | nan | 101/ml_deep_python.ipynb | 2A.dl - Deep learning avec Python | nan | 22 | 0 | |||
| 6 | 100% | 2.617 | 2018-12-10 | cheat_sheet/chsh_images.ipynb | Images et matrices | True | 5.282 | 16 | 16 | 16 |
