Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Stock price prediction system for B3 (Brazilian Stock Exchange) using LSTM (Long Short-Term Memory) neural networks with RESTful API for production inference. masters_tc_LSTM_stock_prediction/ │ ├── ...
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RNN & LSTM from scratch using Numpy. This repository contains Python implementations of: 1-Recurrent Neural Networks (RNN): *Forward pass *Backward pass 2-Long Short-Term Memory (LSTM): *Forward pass ...
Abstract: The growing use of AI -driven video applications like surveillance or healthcare monitoring underscores the need for embedded solutions capable of accurately categorizing human actions in ...
Microsoft's integration of Python into Excel, slated for release in Q3 2024, is a major advance for financial data professionals using Excel as their core analysis tool. This powerful combination ...
Abstract: A hardware architecture for the implementation of LSTM neural networks that can be sized to the specific size of the problem is proposed here. Implementation of an LSTM application requires ...