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1 - 10 of 38 search results for KaKaoTalk:vb20 200 |u:www.mlmi.eng.cam.ac.uk where 0 match all words and 38 match some words.

  1. Results that match 1 of 2 words

  2. Auto-Encoding Variational BayesPawe l F. P. Budzianowski, Thomas F.…

    https://www.mlmi.eng.cam.ac.uk/files/mlsalt4_budzianowski_nicholson_tebbutt.pdf
    30 Oct 2019: 200. 180. 160. 140. 120. 100. L. MNIST, Defualt AEVB. 0.0 0.2 0.4 0.6 0.8 1.01e8. ... 0.0 0.2 0.4 0.6 0.8 1.01e8. 220. 200. 180. 160. 140.

  3. Auto-Encoding Variational Bayes

    https://www.mlmi.eng.cam.ac.uk/files/auto_encoding_var_bayes_d423c.pdf
    6 Nov 2019: 50. 100. 150. 200. 250. 300. Num. ber. of. dim. ensi. ... Squares of weights of dimensions. 0. 50. 100. 150. 200. 250.

  4. Auto-Encoding Variational Bayes

    https://www.mlmi.eng.cam.ac.uk/files/e520t_auto_encoding_variational_bayes.pdf
    6 Nov 2019: We observe thatincreasing the number of latent variables from 20 to 200 does not lead to overfitting. ... 105 106 107 108150. 140. 130. 120. 110. 100. 90MNIST, Nz = 200.

  5. Structured Priors for Policy Optimisation

    https://www.mlmi.eng.cam.ac.uk/files/structured-priors-policy_wang.pdf
    30 Oct 2019: 0. 50. 100. 150. 200. 250. 300. Reward. Learning Curve for Swimmer.

  6. Uncertainty in Bayesian Neural Networks

    https://www.mlmi.eng.cam.ac.uk/files/uncertainty_in_bayesian_neural_networks_v2.pdf
    14 Nov 2019: We use a single-outputFC network with one hidden layer of 200 ReLU units to predict the regression mean µ(x). ... We use atwo-head network with 200 ReLU units to predict the regression mean µ(x) and log-standard deviation log σ(x).

  7. Fact Checking Fake News

    https://www.mlmi.eng.cam.ac.uk/files/2019_06_17_poster_industry_presentation_bart_melman.pdf
    15 Nov 2019: quick. Fever Challenge. DataCorpus 6 million Wikipedia pagesTraining Set 200 thousand claims.

  8. Sequential Neural Models with Stochastic Layers

    https://www.mlmi.eng.cam.ac.uk/files/d402k_poster_sequential_neural_models_with_stochastic_layers.pdf
    6 Nov 2019: We then used a separated testingset to measure the ELBO of different SRNN archi-tectures, namely for z R(2,10,25,50,100,200) and ford

  9. Curiosity-Driven Reinforcement Learning for Dialogue Management

    https://www.mlmi.eng.cam.ac.uk/files/paulawesselmann_mlsalt.pdf
    6 Nov 2019: 33. 4.5 Actions the policy has learned to use after training for 200, 400, and 600dialogues and corresponding curiosity rewards those actions received.

  10. MergedFile

    https://www.mlmi.eng.cam.ac.uk/files/de_jong_thesis.pdf
    6 Nov 2019: Compressing neural networks. Sjoerd Roelof de JongFitzwilliam College. A dissertation submitted to the University of Cambridgein partial fulfilment of the requirements for the degree of. Master of Philosophy in Machine Learning, Speech, and

  11. Designing Neural Network Hardware Accelerators Using Deep Gaussian…

    https://www.mlmi.eng.cam.ac.uk/files/havasi_dissertation.pdf
    30 Oct 2019: The test log-likelihood of the GPmodel was 1.200.06 as opposed to 0.610.04 of DGPs and 0.480.05 of JointDGPs at 300 training points.

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