2017-8-14 LSTM时间序列

• Research Blog: Harness the Power of Machine Learning in Your Browser with Deeplearn.js

• Vooban/Hyperopt-Keras-CNN-CIFAR-100: Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visualizations available.

• 干货|完全图解RNN、RNN变体、Seq2Seq、Attention机制

• 10686 一次 CTC-RNN 调参经历 - 知乎专栏

• 如何在Python中用LSTM网络进行时间序列预测

• 何恺明团队最新力作：新型的目标检测代价函数Focal Loss

• 【ICML教程】深度强化学习，决策与控制（117 PPT）

• TensorFlow高效读取数据 | Ycszen-物语

• CNN、RNN在自动特征提取中的应用

• 无监督对话数据清洗利器：Data Purification Framework

• 【推荐】Pandas实用技巧：减少90%的内存占用

• 【模型】基于深度学习的三大生成模型：VAE、GAN、GAN的变种模型

• RNN增强—ACT（自适应计算次数）多因子选股模型

• 莫烦 Python

• Multivariate Time Series Forecasting with LSTMs in Keras - Machine Learning Mastery

• 用AI预测北京雾霾？有Keras在手，LSTM可分分钟解决

• 教程 | Keras+OpenAI强化学习实践：行为-评判模型

• Get the Most out of LSTMs on Your Sequence Prediction Problem - Machine Learning Mastery

• Using pandas with large data

• tf_examples/titanic_all_features.py at master · ilblackdragon/tf_examples

• tensorflow/pandas_io.py at r1.2 · tensorflow/tensorflow

• tensorflow/pandas_io_test.py at master · tensorflow/tensorflow

• tensorflow/boston.py at master · tensorflow/tensorflow

• tensorflow/estimator.py at master · tensorflow/tensorflow