Stock Market Predictor with RNNs
Recurrent Neural Networks or RNNs are a type of deep neural networks which help in sequence modeling.
They are very useful for processing data that is sequential in nature, such as spoken language, stock prices or weather patterns. One can use RNNs to build applications in natural language processing (such as sentiment analysis), language translation (e.g. English to French), time-series predictions (such as stock prices or air temperature) etc.
The infographic shows one instance where RNNs are useful for time-series data such as stock market predictions.