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

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