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borisbanushev/stockpredictionai
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.
Stars: 140 Issues: 0 Forks: 50
https://github.com/borisbanushev/stockpredictionai
1991viet/Very-deep-cnn-tensorflow
Very deep CNN for text classification
Language: Python
#deep_learning #deep_neural_networks #document_classification #natural_language_processing #nlp #tensorflow #text_classification #vdcnn
Stars: 133 Issues: 0 Forks: 36
https://github.com/1991viet/Very-deep-cnn-tensorflow