Sökning: "Long Run Memory"
Visar resultat 1 - 5 av 30 uppsatser innehållade orden Long Run Memory.
1. Optimizing Quantum Computer Simulations With Data Compression & GPU Acceleration
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Simulating quantum computers involves high memory usage and often long execution times. For that reason the purpose of this project was to analyze whether data compression and GPU acceleration can be used to run simulations with more qubits than previously allowed. LÄS MER
2. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition
Master-uppsats, KTH/Mekatronik och inbyggda styrsystemSammanfattning : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. LÄS MER
3. Deep Learning in the Web Browser for Wind Speed Forecasting using TensorFlow.js
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
4. Passenger flow prediction : Finding and developing a sustainable machine learning model for airport passenger flow prediction
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Matematiska institutionenSammanfattning : There are many outdated routines and processes in today's aviation industry that major airlines lack the motivation to update. While this may not hold any direct security concerns, it creates bottlenecks at checks and high salary costs for otiose airport personnel. LÄS MER
5. Low Power Hardware Accelerator For Gated Recurrent Unit
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Neural Networks are a subset of Machine Learning which are designed to recognize patterns. Recurrent Neural Networks are an important part of AI (Artificial Intelligence) which allows for short term as well as long term dependencies to be captured. LÄS MER