Essays about: "deep learning"

Showing result 1 - 5 of 753 essays containing the words deep learning.

1. 1. Resource Optimal Neural Networks for Safety-critical Real-time Systems

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Joakim Åkerström; [2020-07-10]
   Keywords : Data science; machine learning; deep learning; neural networks; network compression; network acceleration; safety-critical systems; real-time systems;

   Abstract : Deep neural networks consume an excessive amount of hardware resources, makingthem difficult to deploy to real-time systems. Previous work in the field of networkcompression lack the explicit hardware feedback necessary to control the resourceconstraints imposed by such systems. READ MORE

3. 2. Text analysis for email multi label classification

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Kyriaki Paniskaki; Sanjit Harsha Kadam; [2020-07-08]
   Keywords : natural language processing; machine learning; multi label text classification; deep neural networks; bilingual texts; emails; short texts;

   Abstract : This master’s thesis studies a multi label text classification task on a small dataset of bilingual, English and Swedish, short texts (emails). Specifically, the size ofthe data set is 5800 emails and those emails are distributed among 107 classes withthe special case that the majority of the emails includes the two languages at thesame time. READ MORE

4. 3. Benchmarking Deep Learning Testing Techniques A Methodology and Its Application

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Himanshu Chuphal; Kristiyan Dimitrov; [2020-07-06]
   Keywords : Deep Learning; DL; DL testing tools; testing; software engineering; design; benchmark; model; datasets; tasks; tools;

   Abstract : With the adoption of Deep Learning (DL) systems within the security and safetycriticaldomains, a variety of traditional testing techniques, novel techniques, andnew ideas are increasingly being adopted and implemented within DL testing tools.However, there is currently no benchmark method that can help practitioners tocompare the performance of the different DL testing tools. READ MORE

5. 4. Deep Learning and the Heston Model:Calibration & Hedging

   University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistik

   Author : Oliver Klingberg Malmer; Victor Tisell; [2020-07-03]
   Keywords : deep learning; deep hedging; deep calibration; option pricing; stochastic volatilty; Heston model; S P 500 index options; incomplete markets; transaction costs;

   Abstract : The computational speedup of computers has been one of the de ning characteristicsof the 21st century. This has enabled very complex numerical methods for solving existingproblems. As a result, one area that has seen an extraordinary rise in popularity over the lastdecade is what is called deep learning. READ MORE

6. 5. Training a Neural Network using Synthetically Generated Data

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS); KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Fredrik Diffner; Hovig Manjikian; [2020]
   Keywords : Synthetic data set; Generating synthetic data set; Machine learning; Deep Learning; Convolutional Neural Networks; Machine learning model; Character recognition in natural images; Char74k; ICDAR2003.; Syntetiskt dataset; Generera syntetiskt data; Maskininlärning; Maskininlärningsmodell; Djuplärning; Konvolutionära neurala nätverk; teckenigenkänning i bilder; Char74k; ICDAR2003;

   Abstract : A major challenge in training machine learning models is the gathering and labeling of a sufficiently large training data set. A common solution is the use of synthetically generated data set to expand or replace a real data set. READ MORE