In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
最近更新: 6年多前OpenFace is get from https://github.com/TadasBaltrusaitis/OpenFace, a state-of-the art open source tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation. And I create an ios project. Delete Dlib,TBB,Boost. Only use OpenCV .
最近更新: 6年多前Real time face detection and recognition base on opencv/tensorflow/mtcnn/facenet
最近更新: 6年多前
