文件历史

82 次代码提交

作者 SHA1 备注 提交日期
eriklindernoren d8d86600be Naive Bayes: Simplified computation of prior. Resolves #39 2018-05-03 14:24:57 +02:00
eriklindernoren f078fc384e Code clean up 2018-01-23 22:53:00 +01:00
eriklindernoren da90aa13d3 Minimal KNN 2018-01-22 14:34:51 +01:00
eriklindernoren 193032cfa5 BN fix 2018-01-12 23:39:48 +01:00
eriklindernoren 22b18baf3f Renamed 'acc_grad' to 'accum_grad' to reduce ambiguity 2017-12-23 21:22:33 +01:00
eriklindernoren c5256ff2d9 Particle Swarm Optimization 2017-10-06 19:34:15 +02:00
eriklindernoren 3794bde01e Particle Swarm Optimization of Neural Nets 2017-10-06 18:58:22 +02:00
eriklindernoren a31169936e Neuroevolution example on digit dataset 2017-10-04 17:41:11 +02:00
eriklindernoren 7a745750f0 Neuroevolution example on digit dataset 2017-10-04 16:56:38 +02:00
eriklindernoren dba1ef010c Naive Bayes: Division by zero fix 2017-10-04 14:47:45 +02:00
eriklindernoren 210620d0e6 Naive Bayes: Division by zero fix 2017-10-04 14:43:17 +02:00
eriklindernoren b6ef93b7bd Cleanup 2017-10-04 14:18:57 +02:00
eriklindernoren 7d3e274828 Neuroevolution: Takes model builder as parameter to enable support of arbitrary network architecture 2017-10-04 03:02:56 +02:00
eriklindernoren d230537cd0 Neuroevolution 2017-10-04 01:45:21 +02:00
eriklindernoren 17e76954d9 Evolutionary evolved NN 2017-10-03 18:21:02 +02:00
eriklindernoren 02e11a7acf Evolutionary evolved NN 2017-10-03 18:05:38 +02:00
eriklindernoren 550e67af21 Evolutionary evolved NN 2017-10-03 17:50:56 +02:00
eriklindernoren e21b0f7d1f Evolutionary evolved Neural Networks 2017-10-03 15:25:44 +02:00
eriklindernoren ce8321a361 Neuro-Evolution 2017-10-03 01:02:09 +02:00
eriklindernoren 97ffcf7a3e Regression 2017-10-01 13:15:34 +02:00
eriklindernoren 37a1c98ad8 Elastic Net Regression 2017-10-01 12:59:06 +02:00
eriklindernoren 9739ee26ac Regression regularization 2017-10-01 12:02:54 +02:00
eriklindernoren e141f0ee21 Lasso Regression 2017-10-01 10:46:08 +02:00
eriklindernoren 323a04c5ab Regression models 2017-10-01 02:52:37 +02:00
eriklindernoren 44a98c0194 Lasso regression 2017-10-01 02:04:11 +02:00
eriklindernoren 51150dfd43 Restricted Boltzmann Machine 2017-09-30 22:03:17 +02:00
eriklindernoren 05c879ac21 Restricted Boltzmann Machine 2017-09-30 17:17:45 +02:00
eriklindernoren c75b1a39d3 Activation.function to Activation.__call__. Some code refinements. 2017-09-26 00:40:24 +02:00
eriklindernoren f5e125055e NN cleanup. Added NeuralNetwork.test_on_batch method. 2017-09-21 12:28:18 +02:00
eriklindernoren 2067d12c38 Cleaned up imports 2017-09-20 19:17:03 +02:00
eriklindernoren 5f7d7f4bdf Optimizers 2017-09-20 16:40:30 +02:00
eriklindernoren e3a4d623d0 Code refinements. Batch iterator 2017-09-20 15:44:23 +02:00
eriklindernoren d59c0fda41 mlfromscratch/deep_learning/ 2017-09-19 00:14:57 +02:00
eriklindernoren 9a051d0ca7 'Unrolled' MLP impl. 2017-09-18 23:51:44 +02:00
eriklindernoren d58485e573 Example folder 2017-09-18 16:30:09 +02:00
eriklindernoren 98d247269e Recurrent Neural Network 2017-09-18 02:40:39 +02:00
eriklindernoren 258fe6d1f4 Recurrent Neural Network 2017-09-18 02:11:16 +02:00
eriklindernoren 8f77243527 Fully-connected RNN layer 2017-09-18 01:04:51 +02:00
eriklindernoren 445e711fab Documentation 2017-09-15 19:18:45 +02:00
eriklindernoren 4593ffbb64 Resolves #22 2017-09-14 01:28:46 +02:00
cclauss 8edd4a06bc Typo in variable name: titel --> title 2017-09-14 00:33:18 +02:00
eriklindernoren 2d80562de6 Regression fix. 2017-08-21 12:23:21 +02:00
eriklindernoren b50b7a1aff Loss functions 2017-08-21 10:53:38 +02:00
eriklindernoren d17d4ddf06 ANN training speedup fix. 2017-08-21 10:36:53 +02:00
eriklindernoren 6efe4947c6 Deep Reinforcement Learning. OpenAI gym evaluation. 2017-08-18 14:52:33 +02:00
eriklindernoren 6b3d1b0386 GAN impl. architecture 2017-08-18 10:09:19 +02:00
eriklindernoren fef15b3052 Neural Network: AsciiTables for model summary 2017-08-17 10:50:02 +02:00
eriklindernoren e5860da8c9 Neural Network: Model summary 2017-08-16 13:37:57 +02:00
eriklindernoren b9cd67a7a7 GAN Summary 2017-08-16 13:04:15 +02:00
eriklindernoren bc6075faee Neural Network: Model summary. NeuralNetwork.fit() returns training error and validation error 2017-08-16 12:41:40 +02:00