LSTM (Long short-term memory) is a type of recurrent neural network (RNN) used in deep learning to process and predict sequences of data. The LSTM was designed to address the problem of gradient fading in traditional recurrent neural networks, which occurs when error is backpropagated through multiple layers and important information is lost in the process. The LSTM uses a gated cell structure that allows the network to control the amount of information that is stored and forgotten at each time step, making it particularly suitable for processing long-term sequences of data. LSTMs have been successfully used in a wide variety of deep learning applications, such as natural language processing, speech recognition, text generation and time series prediction.
You now have everything you need to get down to work and start working with your company's data. After overcoming the first few hurdles of the [...]
Read More »The term Business Intelligence (or BI) defines the use of information technologies to identify, discover, and analyze business data, such as business [...]
Read More »Fraud detection software is an important tool for protecting companies and individuals from fraudulent activity and minimizing the risk of fraud.
Read More »Artificial intelligence (AI) and machine learning (ML) are two of the most popular technologies used to build intelligent systems for the [...]
Read More »
