Sökning: "The deep web"
Visar resultat 1 - 5 av 75 uppsatser innehållade orden The deep web.
1. Transforming Chess: Investigating Decoder-Only Architecture for Generating Realistic Game-Like Positions
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Chess is a deep and intricate game, the master of which depends on learning tens of thousands of the patterns that may occur on the board. At Noctie, their mission is to aid this learning process through humanlike chess AI. A prominent challenge lies in curating instructive chess positions for students. LÄS MER
2. Evaluating the Viability of Synthetic Pre-training Data for Face Recognition Using a CNN-Based Multiclass Classifier
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Today, face recognition is becoming increasingly accurate and faster with deep learning methods such as convolutional neural networks (CNNs), and is now widely used in areas such as security and entertainment. Typically, these CNNs are trained using real-face datasets like CASIA-WebFace, which was put together using web-crawling of IMDB. LÄS MER
3. Volymbestämning av flishögar med deep Learning
Uppsats för yrkesexamina på grundnivå, Umeå universitet/Institutionen för tillämpad fysik och elektronikSammanfattning : Flis är ett viktigt material för industrier för att tillverka massaprodukter och värme och det transporteras mellan sågverken och mottagande industrier med lastbil. Traditionellt har manuella bedömningar av flisvolymen på sågverksplanen varit tidskrävande och ineffektiva men tekniken inom maskininlärning, särskilt deep learning (DL) kan automatisera volymberäkningar genom användning av tekniker som convolutional neural network (CNN). LÄS MER
4. W2R: an ensemble Anomaly detection model inspired by language models for web application firewalls security
Magister-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Nowadays, web application attacks have increased tremendously due to the large number of users and applications. Thus, industries are paying more attention to using Web application Firewalls and improving their security which acts as a shield between the app and the internet by filtering and monitoring the HTTP traffic. LÄS MER
5. 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