yepeng_xj/machine-learning-notes
1725670521.542321
upload.zip （43个子文件） 
files 
statistics.pdf 227KB recommendation.pdf 616KB graph_cnn.pdf 263KB neural_networks.pdf 299KB dimension_reduction.pdf 187KB GAN.pdf 197KB regression.pdf 429KB softmax.pdf 1.82MB deep_nlp2.pdf 2.34MB markov_chain_monte_carlo.pdf 562KB non_parametrics.pdf 420KB dynamic_model.pdf 744KB dpp.pdf 527KB rbm_gan.pdf 295KB deep_nlp.pdf 2.34MB neuralODE_Adjoint.pdf 341KB
DeeCamp2018_Xu_final.pptx 3.44MB cv_3d_foundation.pdf 3.41MB bayesian.pdf 190KB
index.txt 1B probability.pdf 485KB
industry_master_class.ipynb 388KB non_parametrics_extensions.pdf 203KB reparameterization.pdf 370KB policy_gradient.pdf 530KB deecamp_2019.pdf 777KB particle_filter.pdf 578KB optimization.pdf 438KB dqn.pdf 730KB variational.pdf 609KB stochastic_matrices.pdf 396KB random_measure.pdf 278KB gp_nn.pdf 417KB cnn_beyond.pdf 5.83MB 30_min_AI.pptx 22.75MB introduction_monte_carlo.pdf 372KB mcts.pdf 3.45MB copula_dp.pdf 1.07MB AI_and_machine_learning.pdf 24.87MB word_vector.pdf 479KB cv_3d_research.pdf 5.04MB em.pdf 771KB readme.txt 61B资源评论
