Here are all or part of the Fidle notebook set, fully executed.
These notebooks have been run automatically and the results are proposed here in HTML format.
Id | Status | Notebook | Start | Duration | Running | By |
---|---|---|---|---|---|---|
LINR1 | ok | LinearReg/01-Linear-Regression.ipynb | 22/12/24 21:20:32 | 00:00:06 570ms | done | r3i5n3-3319916 |
GRAD1 | ok | LinearReg/02-Gradient-descent.ipynb | 22/12/24 21:20:33 | 00:00:08 480ms | done | r3i6n0-1040462 |
POLR1 | ok | LinearReg/03-Polynomial-Regression.ipynb | 22/12/24 21:20:37 | 00:00:07 520ms | done | r3i6n3-784397 |
LOGR1 | ok | LinearReg/04-Logistic-Regression.ipynb | 22/12/24 21:20:38 | 00:00:06 500ms | done | r3i7n1-3912250 |
PER57 | ok | Perceptron/01-Simple-Perceptron.ipynb | 22/12/24 21:20:38 | 00:00:05 810ms | done | r3i5n3-3319916 |
K3BHPD1 | ok | BHPD.Keras3/01-DNN-Regression.ipynb | 22/12/24 21:20:42 | 00:00:39 660ms | done | r3i6n0-1040462 |
K3BHPD2 | ok | BHPD.Keras3/02-DNN-Regression-Premium.ipynb | 22/12/24 21:20:44 | 00:00:35 950ms | done | r3i5n3-3319916 |
PBHPD1 | ok | BHPD.PyTorch/01-DNN-Regression_PyTorch.ipynb | 22/12/24 21:20:45 | 00:00:23 030ms | done | r3i6n3-784397 |
K3WINE1 | ok | Wine.Keras3/01-DNN-Wine-Regression.ipynb | 22/12/24 21:20:46 | 00:01:41 050ms | done | r3i7n1-3912250 |
LWINE1 | ok | Wine.Lightning/01-DNN-Wine-Regression-lightning.ipynb | 22/12/24 21:21:09 | 00:01:33 060ms | done | r3i6n3-784397 |
K3MNIST1 | ok | MNIST.Keras3/01-DNN-MNIST.ipynb | 22/12/24 21:21:20 | 00:00:57 910ms | done | r3i5n3-3319916 |
K3MNIST2 | ok | MNIST.Keras3/02-CNN-MNIST.ipynb | 22/12/24 21:21:22 | 00:01:03 380ms | done | r3i6n0-1040462 |
K3GTSRB1 | ok | GTSRB.Keras3/01-Preparation-of-data.ipynb | 22/12/24 21:22:18 | 00:10:24 120ms | done | r3i5n3-3319916 |
K3GTSRB2 | ok | GTSRB.Keras3/02-First-convolutions.ipynb | 22/12/24 21:32:43 | 00:00:52 350ms | done | r3i5n3-3319916 |
K3GTSRB3_1 | ok | GTSRB.Keras3/03-Better-convolutions.ipynb | 22/12/24 21:33:36 | 00:01:34 960ms | done | r3i5n3-3319916 |
K3GTSRB3_2 | ok | GTSRB.Keras3/03-Better-convolutions.ipynb | 22/12/24 21:35:11 | 00:01:34 590ms | done | r3i5n3-3319916 |
K3IMDB1 | ok | Embedding.Keras3/01-One-hot-encoding.ipynb | 22/12/24 21:22:26 | 00:00:51 460ms | done | r3i6n0-1040462 |
K3IMDB2 | ok | Embedding.Keras3/02-Keras-embedding.ipynb | 22/12/24 21:22:28 | 00:00:44 450ms | done | r3i7n1-3912250 |
K3IMDB3 | ok | Embedding.Keras3/03-Prediction.ipynb | 22/12/24 21:23:14 | 00:00:10 970ms | done | r3i7n1-3912250 |
K3IMDB4 | ok | Embedding.Keras3/04-Show-vectors.ipynb | 22/12/24 21:23:18 | 00:00:10 800ms | done | r3i6n0-1040462 |
K3IMDB5 | ok | Embedding.Keras3/05-LSTM-Keras.ipynb | 22/12/24 21:22:43 | 00:24:26 130ms | done | r3i6n3-784397 |
K3LADYB1 | ok | RNN.Keras3/01-Ladybug.ipynb | 22/12/24 21:23:24 | 00:16:17 260ms | done | r3i7n1-3912250 |
K3AE1 | ok | AE.Keras3/01-Prepare-MNIST-dataset.ipynb | 22/12/24 21:23:29 | 00:00:44 360ms | done | r3i6n0-1040462 |
K3AE2 | ok | AE.Keras3/02-AE-with-MNIST.ipynb | 22/12/24 21:24:14 | 00:01:59 570ms | done | r3i6n0-1040462 |
K3AE3 | ok | AE.Keras3/03-AE-with-MNIST-post.ipynb | 22/12/24 21:26:13 | 00:00:22 030ms | done | r3i6n0-1040462 |
K3AE4 | ok | AE.Keras3/04-ExtAE-with-MNIST.ipynb | 22/12/24 21:26:36 | 00:03:37 590ms | done | r3i6n0-1040462 |
K3AE5 | ok | AE.Keras3/05-ExtAE-with-MNIST.ipynb | 22/12/24 21:30:14 | 00:06:16 420ms | done | r3i6n0-1040462 |
K3VAE1 | ok | VAE.Keras3/01-VAE-with-MNIST-LossLayer.ipynb | 22/12/24 21:36:31 | 00:05:11 630ms | done | r3i6n0-1040462 |
K3VAE2 | ok | VAE.Keras3/02-VAE-with-MNIST.ipynb | 22/12/24 21:36:45 | 00:05:01 270ms | done | r3i5n3-3319916 |
K3VAE3 | ok | VAE.Keras3/03-VAE-with-MNIST-post.ipynb | 22/12/24 21:41:48 | 00:00:27 030ms | done | r3i5n3-3319916 |
PLSHEEP3_1 | ok | DCGAN.Lightning/01-DCGAN-PL.ipynb | 22/12/24 21:39:42 | 00:29:48 980ms | done | r3i7n1-3912250 |
PLSHEEP3_2 | ok | DCGAN.Lightning/01-DCGAN-PL.ipynb | 22/12/24 21:41:43 | 00:28:37 950ms | done | r3i6n0-1040462 |
NP1 | ok | Misc/00-Numpy.ipynb | 22/12/24 21:42:17 | 00:00:02 700ms | done | r3i5n3-3319916 |
ACTF1 | ok | Misc/01-Activation-Functions.ipynb | 22/12/24 21:42:19 | 00:00:06 070ms | done | r3i5n3-3319916 |
PANDAS1 | ok | Misc/02-Using-pandas.ipynb | 22/12/24 21:42:26 | 00:00:02 140ms | done | r3i5n3-3319916 |
FID1 | ok | Misc/99-Fid-Example.ipynb | 22/12/24 21:42:29 | 00:00:06 410ms | done | r3i5n3-3319916 |