Essays about: "Recurrent Neural Networks"
Showing result 21 - 25 of 247 essays containing the words Recurrent Neural Networks.
-
21. Hierarchical Clustering using Brain-like Recurrent Attractor Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Hierarchical clustering is a family of machine learning methods that has many applications, amongst other data science and data mining. This thesis belongs to the research area of brain-like computing and introduces a novel approach to hierarchical clustering using a brain-like recurrent neural network. READ MORE
-
22. Remaining Useful Life Prediction of Power Electronic Devices Using Recurrent Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The growing demand for sustainable technology has led to an increased application of power electronics. As these devices are often exposed to harsh conditions, their reliability is a primary concern for both manufacturers and users. READ MORE
-
23. Deep Learning in the Web Browser for Wind Speed Forecasting using TensorFlow.js
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Learning is a powerful and rapidly advancing technology that has shown promising results within the field of weather forecasting. Implementing and using deep learning models can however be challenging due to their complexity. READ MORE
-
24. Recognition of Handwritten Swedish Sentences With Deep Learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This study attempts the task of handwritten text recognition within the context of the Swedish language. It examines the applicability of deep neural networks to comprehend handwritten Swedish texts, specifically leveraging the Labors Memory Dataset. READ MORE
-
25. Latency Prediction in 5G Networks by using Machine Learning
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : This thesis presents a report of predicting latency in a 5G network by using deep learning techniques. The training set contained data of network parameters along with the actual latency, collected in a 5G lab environment during four different test scenarios. READ MORE