Essays about: "DCGAN"

Showing result 1 - 5 of 9 essays containing the word DCGAN.

  1. 1. Exploring State-of-the-Art Machine Learning Methods for Quantifying Exercise-induced Muscle Fatigue

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Abboud Afram; Danial Sarab Fard Sabet; [2023]
    Keywords : EMG; SEMG; STFT; CWT; SVM; CNN; GAN; DCGAN; BCE; SGD; deep learning; machine learning; muscle fatigue; DCGAN; spectrogram; CNN models; transfers learning; data augmentation; feature extraction;

    Abstract : Muscle fatigue is a severe problem for elite athletes, and this is due to the long resting times, which can vary. Various mechanisms can cause muscle fatigue which signifies that the specific muscle has reached its maximum force and cannot continue the task. READ MORE

  3. 2. GAN-Based Counterfactual Explanation on Images

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Ning Wang; [2023]
    Keywords : : Machine Learning; Counterfactual Explanation; GAN; DCGAN;

    Abstract : Machine learning models are widely used in various industries. However, the black-box nature of the model limits users’ understanding and trust in its inner workings, and the interpretability of the model becomes critical. READ MORE

  4. 3. Impact of GAN methods for theHandwritten Digit Classification inHandwritten Document Images

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Athul Velagapudi; [2023]
    Keywords : Classification; Machine learning; Deep learning; GANS; Feature extrac- tion;

    Abstract : Background: GANs are well-known for their ability to generate realistic fake sample data, which can be audio, images, and videos. The application areas of GANs have increased their popularity in recent years. The first and best feature of GANs is their learning nature, characterized by powerful learning. READ MORE

  5. 4. An empirical comparison of generative capabilities of GAN vs VAE

    University essay from KTH/Datavetenskap

    Author : Norma Cristina Cueto Ceilis; Hanna Peters; [2022]
    Keywords : ;

    Abstract : Generative models are a family of machine learning algorithms that are aspire to enable computers to understand the real world. Their capability to understand the underlying distribution of data enables them to generate synthetic data from the data they are trained on. READ MORE

  6. 5. Basil-GAN

    University essay from KTH/Matematisk statistik

    Author : Jonatan Risberg; [2022]
    Keywords : GAN; mathematical statistics; deep neural networks; generative models; latent space exploration; sequential data; GAN; matematisk statistik; djupa neurala nätverk; generativa modeller; utforskning av latenta rum; sekventiell data;

    Abstract : Developments in computer vision has sought to design deep neural networks which trained on a large set of images are able to generate high quality artificial images which share semantic qualities with the original image set. A pivotal shift was made with the introduction of the generative adversarial network (GAN) by Goodfellow et al.. READ MORE