文件历史

45 次代码提交

作者 SHA1 备注 提交日期
eriklindernoren 2067d12c38 Cleaned up imports 2017-09-20 19:17:03 +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 6e76164ed8 Padding layer fix. 2017-09-18 16:35:41 +02:00
eriklindernoren d58485e573 Example folder 2017-09-18 16:30:09 +02:00
eriklindernoren 9f88013353 Recurrent Neural Network 2017-09-18 02:55:51 +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 b7d00a1b52 Recurrent Neural Network 2017-09-18 01:40:40 +02:00
eriklindernoren 8f77243527 Fully-connected RNN layer 2017-09-18 01:04:51 +02:00
eriklindernoren f4f2d6065b Logistic Regression fix 2017-09-15 20:47:34 +02:00
eriklindernoren 445e711fab Documentation 2017-09-15 19:18:45 +02:00
Qi, Bob 62830904df use full module name for data_manipulation 2017-09-07 16:21:21 +08:00
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 a9fbf0a04f Neural Network: Model Summary 2017-08-18 10:24:49 +02:00
eriklindernoren fef15b3052 Neural Network: AsciiTables for model summary 2017-08-17 10:50:02 +02:00
eriklindernoren bc6075faee Neural Network: Model summary. NeuralNetwork.fit() returns training error and validation error 2017-08-16 12:41:40 +02:00
eriklindernoren 2819c1711e Batch Normalization: Initialization of running mean and running variance fix 2017-08-14 14:48:58 +02:00
eriklindernoren 72b6f6b08a Easier construction of conv nets by automatic padding selection. Similarly to Keras. 'valid' or 'same' possible options. 2017-08-14 14:14:13 +02:00
eriklindernoren ce7b704394 Deep Convolutional GAN 2017-08-13 19:18:50 +02:00
eriklindernoren 0f7ea66878 Refined GAN 2017-08-10 01:00:07 +02:00
eriklindernoren d8012974f4 Refined batch norm impl. 2017-08-09 15:49:12 +02:00
eriklindernoren d4549930fa Batch Normalization layer implemented 2017-08-09 12:24:59 +02:00
eriklindernoren bc31bc7497 Generative Adversarial Network impl. 2017-08-08 14:22:41 +02:00
eriklindernoren 663e4cc467 Constant padding and zero padding layers 2017-08-07 13:42:23 +02:00
eriklindernoren 46fea18e0e Constant padding and zero padding layers 2017-08-07 13:37:01 +02:00
eriklindernoren 35d2d5e0db Constant padding and zero padding layers 2017-08-07 13:34:49 +02:00
eriklindernoren d7a9f3a5de Constant padding and zero padding layers 2017-08-07 13:34:43 +02:00
eriklindernoren 5d17f2fc5e One-hot encoding method renamed to 'to_categorical' 2017-08-06 18:17:58 +02:00
eriklindernoren 3b9bcce3aa AveragePooling. Pooling parent class. 2017-08-06 17:14:22 +02:00
eriklindernoren 7a81dbae52 Max Pooling 2017-07-30 18:32:52 +02:00
eriklindernoren 0fc48fbd5f Max Pooling 2017-07-30 18:28:12 +02:00
eriklindernoren b6293b8575 Conv layer documention 2017-07-30 12:31:54 +02:00
eriklindernoren ebf99cd538 Convolutional Neural Network 2017-07-30 05:50:56 +02:00
eriklindernoren 74aba24c32 Deep nets: Moved layers to 'mlfromscratch/utils/layers.py'. Keras Sequential-like network construction. 2017-07-28 21:53:21 +02:00
eriklindernoren 6af5f087b4 Deep nets: Moved layers to 'mlfromscratch/utils/layers.py'. Keras Sequential-like network construction. 2017-07-28 21:42:30 +02:00
eriklindernoren 980e9621ed Dropout layer impl. 2017-06-18 17:13:29 +02:00
eriklindernoren b9766b5af1 Simple matplotlib wrapper with dim. reduction implemented in utils/misc.py. 2017-06-17 23:16:38 +02:00
eriklindernoren 4eb90be16b Multilayer Perceptron: Support for implemented optimizers. Softmax activation function and cross entropy loss implemented. 2017-06-12 00:35:40 +02:00
eriklindernoren ea2253f314 Activation function: Scaled Exponential Linear Unit 2017-06-10 16:51:43 +02:00
eriklindernoren 5890fb9da6 Activation function: Scaled Exponential Linear Unit 2017-06-10 16:36:42 +02:00
eriklindernoren 060b486974 Apriori example output 2017-06-09 16:48:31 +02:00
eriklindernoren 8fc3b4bfd2 PyPI 2017-06-08 02:15:16 +02:00