Hosted on MSN

Activation functions in neural networks: Types and examples

In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why to use an Activation Function and which Activation function to use. The ...
Bleeping Computer

MATLAB dev says ransomware gang stole data of 10,000 people

MathWorks, a leading developer of mathematical simulation and computing software, revealed that a ransomware gang stole the data of over 10,000 people after breaching its network in April. The company ...
Hosted on MSN

What Is An Rnn? Recurrent Neural Networks Made Simple

in this video, we will understand what is Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be ...
GitHub

hyperparameter-tuning

Spearmint integrated Bayesian Optimization for hyper parameter tuning of Auto sparse encoder embedded with softmax Classifier for MNIST digit Classification. Platform + GUI for hyperparameter ...
Scientific Research Publishing

Medsker, L.R. and Jain, L. (2001) Recurrent Neural Networks: Design and Applications. CRC Press.

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...
Frontiers

Using Long Short-Term Memory (LSTM) recurrent neural networks to classify unprocessed EEG for seizure prediction

Seizure prediction could improve quality of life for patients through removing uncertainty and providing an opportunity for acute treatments. Most seizure prediction models use feature engineering to ...
IEEE

Augmented Phase-Normalized Recurrent Neural Network for RF Power Amplifier Linearization

Abstract: In this article, we present a highly accurate recurrent neural network (RNN) for behavioral modeling and digital predistortion (DPD) of radio frequency (RF) power amplifiers (PAs). We ...