Abstract: The efficient deployment of Recurrent Neural Networks (RNNs), particularly long short-term memory (LSTM) architectures, on edge devices has become increasingly important due to their ability ...
An evnet driven model that uses financial time series data with New York Times information to form a LSTM recurrent neural network. There are 3 models. The first 2 models are based on price and volume ...
Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
Robbie has been an avid gamer for well over 20 years. During that time, he's watched countless franchises rise and fall. He's a big RPG fan but dabbles in a little bit of everything. Writing about ...
Abstract: With the growth of global energy demand and the widespread use of renewable energy, how to accurately predict power demand has become a key issue to ensure the stability of the power grid ...
In this excellent tutorial video presentation below, Magnus Erik Hvass Pedersen demonstrates the basic workflow of using TensorFlow with a simple linear model. After loading the so-called MNIST ...
As the following example shows, the first batch learn the sequence information by using 0 to 9.\n The second batch learn the sequence information by using 10 to 19.\n So it ignores the information ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results