文件名称：deepbayes-2018：研讨会DeepBayes Summer School 2018
文件大小：25.76MB
文件格式：ZIP
更新时间：2024-02-26 03:40:24
deep-learning bayesian variational-inference DeeplearningJupyterNotebook
研讨会DeepBayes暑期学校2018 在查看更多信息。
【文件预览】：
deepbayes-2018-master
----day3_qr-qnetwork()
--------qr-dqn-solution.ipynb(58KB)
--------logger.py(3KB)
--------qr_dqn-local.ipynb(12KB)
--------rl_utils.py(1KB)
--------qr_dqn-colab.ipynb(29KB)
--------README.md(216B)
----day5_gp()
--------EI_vs_logEI.png(180KB)
--------gp_basic_filled.ipynb(924KB)
--------airline_result.png(20KB)
--------test_data.csv(214KB)
--------gp_basic.ipynb(48KB)
--------utility.py(5KB)
--------gpy_opt.ipynb(26KB)
--------airline.npz(2KB)
--------gpy_opt_filled.ipynb(282KB)
--------gp.png(32KB)
--------training_data.csv(214KB)
----Dockerfile(2KB)
----day2_vae()
--------ss_vae_xy.png(366KB)
--------ss_vae_x.png(431KB)
--------ae_interpolations.png(7KB)
--------vae.png(239KB)
--------vae_complete.ipynb(550KB)
--------ae_reconstructions.png(8KB)
--------vae_blank.ipynb(34KB)
----day6_sparse-variational-dropout()
--------svdo-local.ipynb(23KB)
--------logger.py(3KB)
--------svdo-solution.ipynb(197KB)
--------svdo-colab.ipynb(23KB)
----day3_policy_gradient()
--------a2c_lstm_pytorch.ipynb(23KB)
--------env_pool_torch.py(4KB)
--------reinforce_pytorch_sln.ipynb(20KB)
--------reinforce_pytorch.ipynb(12KB)
--------atari_util.py(2KB)
--------env_pool.py(4KB)
--------README.md(1KB)
----deepbayes.png(1.92MB)
----day1_bayesian-reasoning()
--------problem_set.pdf(146KB)
--------presentation.pdf(2.57MB)
----xvfb(640B)
----README.md(251B)
----day4_gans()
--------GAN_deep_bayes_updated.ipynb(16KB)
--------GAN_deep_bayes_solution.ipynb(19.83MB)
----day1_em()
--------task_em.ipynb(19KB)
--------problem_set.pdf(245KB)
--------link_to_data.txt(36B)
--------seminar_em.pdf(4.25MB)