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Forecasting Financial Data Using Recurrent Neural Networks (RNNs)

Introduction In this era of financial market evolution, accurate prediction of financial indices such as the stock market is significant to the traditional investors, stock traders, and financial analysts. The uncertainties of market intricacies often need to be explained due to their complexity, that incorporates various unpredictable elements, making the task not easy. Despite these ... Read More
Pages: 12       Words: 3194

Improving Deep Learning Algorithms for Image Recognition

Introduction Research shows that deep learning algorithms have transformed the field of scientifically identifying images, a process that enables computers to identify and classify images appropriately. According to Kavitha et al. (2023), these algorithms have much potential to grow and develop. Gupta et al. (2021) argue that deep learning developments can impact various uses, including ... Read More
Pages: 11       Words: 2813
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