msb-public-java
/
AiLearning-Theory-Applying
mirror of https://github.com/ben1234560/AiLearning-Theory-Applying
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  • 0d7026d371 Add. embedding_postprocessor benjas 2021-01-08 09:38:00 +0800
  • 55084a11fe Add. Embedding benjas 2021-01-08 09:22:16 +0800
  • c82753c8f5 Update README.md benjas 2021-01-08 08:52:04 +0800
  • 7cc22cd2da Add. Making tfrecord data benjas 2021-01-07 17:11:35 +0800
  • 3cad39897e Add. Data preprocessing module benjas 2021-01-07 15:36:28 +0800
  • b100cfa87f Create 源码解读.md benjas 2021-01-07 14:44:15 +0800
  • 39d9cd1a0d Create README.md benjas 2021-01-07 14:44:04 +0800
  • 6553b88f3e Fix Chapter Name benjas 2021-01-07 14:43:45 +0800
  • f3497bd484 Update README.md benjas 2021-01-07 13:03:42 +0800
  • c9f8fd748a Create README.md benjas 2021-01-06 20:29:28 +0800
  • 6b866778fb Add. Training method of BERT model benjas 2021-01-04 21:55:46 +0800
  • 89ff06d886 Add. Transformer Architecture benjas 2021-01-04 16:42:44 +0800
  • 71453ca031 Add. Position encoding and multilayer stacking benjas 2021-01-04 16:06:10 +0800
  • e927e97bc1 Add. Effection of Multi/head benjas 2021-01-04 15:22:29 +0800
  • 24bda20433 Create 第一章——NLP通用框架BERT原理解读.md benjas 2021-01-04 14:45:47 +0800
  • 908aac4235 Delete NLP通用框架BERT原理解读.md benjas 2021-01-04 14:44:56 +0800
  • b53d702ce8 Add. Calculation method of Self-Attention benjas 2021-01-04 12:03:31 +0800
  • 21c9f39bc6 Add. Effect of Self-Attention benjas 2021-01-04 10:11:16 +0800
  • e5c4ebb43e Add. Problems with traditional solutions benjas 2021-01-04 09:57:36 +0800
  • 3f9cf68781 Add. Negative-sampling of NLP benjas 2021-01-02 09:18:58 +0800
  • 856140ea1c Add-CBOW and Skipgram model benjas 2021-01-02 09:03:53 +0800
  • 0dd1e82175 Add-Building the training dataset benjas 2021-01-02 08:52:38 +0800
  • dcd0c198c4 Add Interpretation of Word2Vec benjas 2021-01-01 12:13:14 +0800
  • 0dd41185c6 Add Interpretation of RNN network benjas 2021-01-01 11:52:35 +0800
  • a6df820040 Add Residual network of ResNet benjas 2021-01-01 09:42:39 +0800
  • 24bf5d1fd9 Update Parameters of convolution layer benjas 2020-12-31 11:33:15 +0800
  • c0cd3acb4f Add Parameters of convolution layer benjas 2020-12-31 10:54:55 +0800
  • aaf96776d9 Update Calculation method of convolution benjas 2020-12-31 10:20:39 +0800
  • 5f3e9518d6 Update Calculation method of convolution benjas 2020-12-31 10:19:37 +0800
  • a10209a9cc Add Calculation method of convolution benjas 2020-12-31 10:18:38 +0800
  • 7e72f4b6b0 Add Function of convolution benjas 2020-12-31 09:52:53 +0800
  • 3cc6f133c6 Add Solving Strategies of Over-Fitting in Neural networks benjas 2020-12-31 09:09:45 +0800
  • 39cc09b57d Add Regularization and activation function benjas 2020-12-31 08:57:08 +0800
  • cdd2c58493 Add-The influence of the number of neurons on the results benjas 2020-12-30 17:04:26 +0800
  • 61ed3a7963 Add-The influence of the number of neurons on the results benjas 2020-12-30 17:03:58 +0800
  • f924a1cc16 Add structure of neural network mode benjas 2020-12-30 15:57:50 +0800
  • 4ce2d93cbf Add back propagation benjas 2020-12-30 15:29:27 +0800
  • 31b86efd4a Create 第一章——深度学习必备知识点.md benjas 2020-12-30 14:56:15 +0800
  • 81bc7c5356 Delete 第一章 深度学习必备知识点.md benjas 2020-12-30 14:55:54 +0800
  • 87fc1bd776 Add loss function benjas 2020-12-30 14:45:17 +0800
  • 35dfb7723c Add 计算机视觉任务简介 benjas 2020-12-29 17:21:21 +0800
  • a4e59d361c Add 深度学习要解决的问题 benjas 2020-12-29 16:54:56 +0800
  • e0646a98b6 Create 第一章 深度学习必备知识点.md benjas 2020-12-29 16:28:21 +0800
  • 11d2f066e0 Fix some words benjas 2020-12-29 15:05:25 +0800
  • 451539908e Add 建筑能源利用率预测 benjas 2020-12-29 14:44:56 +0800
  • eb48d01a06 Add 建筑能源利用率预测 benjas 2020-12-29 14:34:26 +0800
  • b182f94b55 Add download address benjas 2020-12-29 14:23:33 +0800
  • 87299afbfb Delete-Merge to data benjas 2020-12-29 14:23:04 +0800
  • 256f30a2fd Add comment of Conclusions and Document Findings benjas 2020-12-29 10:27:50 +0800
  • 588e865fb9 Add comment of Decision tree benjas 2020-12-29 10:05:30 +0800
  • e670c9a9b9 Add comment of LIME benjas 2020-12-29 09:54:32 +0800
  • 6fbfaf3a64 Add comment of Introduction benjas 2020-12-28 16:55:32 +0800
  • 7de5b074a9 Fix comment benjas 2020-12-28 16:55:12 +0800
  • 733e412c1a Feat-Add Performance comparison between XGBoost and LightGBM benjas 2020-12-28 15:42:20 +0800
  • c49584ad85 Add comment of Scaling Features benjas 2020-12-28 15:09:26 +0800
  • e2d7e2f6e6 Add comment of missing values benjas 2020-12-28 14:44:54 +0800
  • 84d87a38cd Add comment of introduction benjas 2020-12-28 14:44:31 +0800
  • 455390cd18 Add comment of introduction benjas 2020-12-28 13:08:54 +0800
  • 3bf85aa23a Add comment of introduction benjas 2020-12-28 13:08:43 +0800
  • 61c511fc8f Add comment of introduction benjas 2020-12-28 13:08:22 +0800
  • 0f820cc939 Add comment of introduction benjas 2020-12-28 12:46:43 +0800
  • 78873404c0 Add comment of Establish a Baseline benjas 2020-12-27 12:33:19 +0800
  • f65f03d2ef Add comment of Feature Engineering and Selection benjas 2020-12-27 11:47:07 +0800
  • 64705d565b Add comment of Feature Engineering and Selection benjas 2020-12-27 10:57:07 +0800
  • 4dfd6788ed Add comment of Correlations between Features and Target benjas 2020-12-26 15:46:50 +0800
  • dd12d38563 Add comment of Correlations between Features and Target benjas 2020-12-26 15:46:31 +0800
  • 2d2162d77d Add comment of missing values benjas 2020-12-26 14:05:28 +0800
  • 69d2b7c8ab Add comment benjas 2020-12-26 13:54:02 +0800
  • 915cb8c436 Add 模型分析 benjas 2020-12-26 13:53:46 +0800
  • 152a6d8eb3 Create 3_模型解释与分析_建筑能源利用率预测.ipynb benjas 2020-12-25 15:14:04 +0800
  • a7e6cf5b6e Create 3_模型解释与分析_建筑能源利用率预测-checkpoint.ipynb benjas 2020-12-25 15:13:58 +0800
  • 9a0f4060cc Create 2_建模_建筑能源利用率预测.ipynb benjas 2020-12-25 15:13:15 +0800
  • ee3dd27779 Create 1_数据预处理_建筑能源利用率预测.ipynb benjas 2020-12-25 15:13:05 +0800
  • e0c119840e Create 2_建模_建筑能源利用率预测-checkpoint.ipynb benjas 2020-12-25 15:12:51 +0800
  • 5c21d7ce31 Create 1_数据预处理_建筑能源利用率预测-checkpoint.ipynb benjas 2020-12-25 15:12:42 +0800
  • 38f15d7ee5 Delete 数据预处理_建筑能源利用率预测-checkpoint.ipynb benjas 2020-12-25 15:12:32 +0800
  • 07c894341d Delete 建模与分析_建筑能源利用率预测-checkpoint.ipynb benjas 2020-12-25 15:12:25 +0800
  • c8eb44f2d6 Delete 数据预处理_建筑能源利用率预测.ipynb benjas 2020-12-25 15:12:19 +0800
  • 3bd98cb7b5 Delete 建模与分析_建筑能源利用率预测.ipynb benjas 2020-12-25 15:12:14 +0800
  • 640fb5fa43 Add 参数调优 benjas 2020-12-25 12:46:48 +0800
  • a05e45295e Add 基础模型比较 benjas 2020-12-25 11:05:11 +0800
  • 0085dd1c39 Create 数据预处理_建筑能源利用率预测-checkpoint.ipynb benjas 2020-12-25 11:04:54 +0800
  • 16d23a57de Create 建模与分析_建筑能源利用率预测-checkpoint.ipynb benjas 2020-12-25 11:04:48 +0800
  • 51f00583cd Delete 建筑能源利用率预测-checkpoint.ipynb benjas 2020-12-25 11:04:30 +0800
  • c67515eb6b Create 建模与分析_建筑能源利用率预测.ipynb benjas 2020-12-25 10:42:31 +0800
  • 0e9bc19a00 Create 数据预处理_建筑能源利用率预测.ipynb benjas 2020-12-25 10:42:19 +0800
  • cd26a1c587 Delete 建筑能源利用率预测.ipynb benjas 2020-12-25 10:42:08 +0800
  • 9a1e5a8046 Update 建筑能源利用率预测.ipynb benjas 2020-12-23 21:49:17 +0800
  • 4b7154ae02 Create Building Data Report.pdf benjas 2020-12-23 21:49:08 +0800
  • 82414bb1b7 Create 2016_nyc_benchmarking_data_disclosure_definitions.pdf benjas 2020-12-23 21:48:42 +0800
  • ffd1fa05fb Add 特征工程 benjas 2020-12-23 21:48:31 +0800
  • 460c507902 Add 多变量展示 benjas 2020-12-22 21:31:33 +0800
  • bbff30ad43 Add 变量与结果的关系 benjas 2020-12-22 21:08:19 +0800
  • 241610899a Add 处理离群点 benjas 2020-12-22 20:57:46 +0800
  • d60643e61a Add 单变量绘图分析 benjas 2020-12-22 20:46:43 +0800
  • f2e049936a Add 处理缺失值 benjas 2020-12-21 21:34:06 +0800
  • 9cd0cc6063 Add 处理缺失值 benjas 2020-12-21 21:33:57 +0800
  • cd2161afba Add 处理缺失值 benjas 2020-12-21 21:31:13 +0800
  • 289e93504f Create 建筑能源利用率预测.ipynb benjas 2020-12-21 21:13:05 +0800
  • 68dc09c179 Create 建筑能源利用率预测-checkpoint.ipynb benjas 2020-12-21 21:12:36 +0800