Essays about: "Variational Recurrent Neural Network"

Found 4 essays containing the words Variational Recurrent Neural Network.

  1. 1. Towards Latent Space Disentanglement of Variational AutoEncoders for Language

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Paloma García de Herreros García; [2022]
    Keywords : Variational Autoencoders; Latent Space; disentanglement;

    Abstract : Variational autoencoders (VAEs) are a neural network architecture broadly used in image generation (Doersch 2016). VAEs are neural network models that encode data from some domain and project it into a latent space (Doersch 2016). READ MORE

  3. 2. Modelling approach and avoidance behaviour : A deep learning approach to understand the human olfactory system

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

    Author : Frans Nordén; [2021]
    Keywords : Probabilistic Machine Learning; Variational Recurrent Neural Network; EEG; Approach and Avoidance behaviour; Frontal alpha asymmetry; Probabilistisk Maskininlärning; Variational Recurrent Neural Network; EEG; Approach and Avoidance behaviour; Frontal alpha asymmetri;

    Abstract : In this thesis we examine the question whether it is possible to model approach and avoidance behaviour with probabilistic machine learning. The results from this project will primarily aid in our collective understanding of human existence. READ MORE

  4. 3. MahlerNet : Unbounded Orchestral Music with Neural Networks

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

    Author : Elias Lousseief; [2019]
    Keywords : music; composition; algorithmic composition; neural networks; recurrent neural networks; RNN; variational autoencoder; VAE; LSTM; BALSTM; MusicVAE; PerformanceRNN; BachProp; musik; komposition; algoritmisk komposition; neurala nätverk; recurrent neural networks; RNN; variational autoencoder; VAE; LSTM; BALSTM; MusicVAE; PerformanceRNN; BachProp;

    Abstract : Modelling music with mathematical and statistical methods in general, and with neural networks in particular, has a long history and has been well explored in the last decades. Exactly when the first attempt at strictly systematic music took place is hard to say; some would say in the days of Mozart, others would say even earlier, but it is safe to say that the field of algorithmic composition has a long history. READ MORE

  5. 4. Multivariate analysis of the parameters in a handwritten digit recognition LSTM system

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

    Author : Georgios Zervakis; [2019]
    Keywords : Deep Learning; Interpretability; Handwritten Digit Recognition; MNIST; Recurrent Neural Networks; PCA; SVD; Variational Autoencoders;

    Abstract : Throughout this project, we perform a multivariate analysis of the parameters of a long short-term memory (LSTM) system for handwritten digit recognition in order to understand the model’s behaviour. In particular, we are interested in explaining how this behaviour precipitate from its parameters, and what in the network is responsible for the model arriving at a certain decision. READ MORE