9.4 Project 4: Time Series Forecasting with LSTMs (Improved)
Time series forecasting plays a pivotal role across numerous domains, including but not limited to financial analysis, meteorological predictions, and demand estimation in supply chain management. This project delves into the application of Long Short-Term Memory (LSTM) networks, a sophisticated type of recurrent neural network, for the purpose of predicting future values within a time series. Our specific focus lies in the realm of stock price prediction, a challenging and economically significant application of time series forecasting.
Building upon our original project, we aim to implement a series of enhancements designed to significantly boost both the performance and robustness ...