Python-STAT479的课程材料威斯康星大学麦迪逊分校的深度学习SS2019课程
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2019-08-11
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Python-STAT479的课程材料威斯康星大学麦迪逊分校的深度学习SS2019课程 （907个子文件） 
proposal.aux 2KB proposal.bbl 303B bibliography.bib 270B bibliography.bib 270B proposal.blg 971B ieee.bst 19KB ieee.bst 19KB test.csv 1.29MB train.csv 450KB valid.csv 50KB linreg-data.csv 41KB xor.csv 30KB mnist_test.csv 3KB mnist_valid.csv 3KB mnist_train.csv 2KB dataset.csv 2KB iris.data 4KB iris.data 4KB iris.data 4KB iris.data 4KB iris.data 4KB .DS_Store 6KB .DS_Store 6KB
training.gif 1.12MB .gitignore 1KB
proposal.synctex.gz 13KB perceptron-animation.ipynb 767KB winning-solution.ipynb 265KB mlp-pytorch.ipynb 253KB vgg16-transferlearning.ipynb 204KB xor-problem.ipynb 111KB resnet-152.ipynb 108KB stat479-ss2019-comp.ipynb 107KB gan-halfcnn-mnist-mode-collapse.ipynb 106KB gan-cnn-mnist-label-smoothing.ipynb 100KB gan-cnn-mnist-converge-but-fail.ipynb 98KB gan-cnn-mnist.ipynb 95KB hw3.ipynb 94KB resnet-34.ipynb 91KB vgg16.ipynb 87KB gan-cnn-mnist-not-great.ipynb 85KB mlp-fromscratch__sigmoid-mse.ipynb 85KB gan-mlp-mnist.ipynb 84KB softmax-regression_scratch.ipynb 77KB logistic-regression.ipynb 76KB adaline-sgd.ipynb 60KB ae-conv.ipynb 48KB resnet-blocks.ipynb 46KB ae-interpolate.ipynb 46KB softmax-regression-mnist.ipynb 44KB perceptron-numpy.ipynb 44KB ae-simple.ipynb 44KB ae-simple-with-bce.ipynb 43KB hw4.ipynb 35KB linear-regr-gd.ipynb 27KB rnn_lstm_packed_own_csv_imdb.ipynb 27KB custom-dataloader-example.ipynb 26KB dropout.ipynb 25KB char_rnn.ipynb 25KB nin-cifar10.ipynb 23KB L2-log-reg.ipynb 23KB rnn_simple_packed_imdb.ipynb 19KB rnn_gru_packed_imdb.ipynb 19KB rnn_lstm_bi_imdb.ipynb 19KB rnn_simple_imdb.ipynb 19KB adaline-with-autograd.ipynb 19KB rnn_lstm_packed_imdb.ipynb 19KB hw2.ipynb 18KB data-augmentation.ipynb 18KB convnet-allconv.ipynb 17KB nomal.ipynb 17KB uniform.ipynb 17KB xavier-uniform.ipynb 17KB xavier-nomal.ipynb 17KB he-nomal.ipynb 17KB he-uniform.ipynb 17KB default.ipynb 16KB grad-intermediate-var.ipynb 10KB hw1.ipynb 9KB cross-entropy-pytorch.ipynb 8KB pytorch-autograd.ipynb 6KB fc-to-conv.ipynb 5KB second-order-deriv.ipynb 5KB pytorch-gotchas.ipynb 4KB vectorization-example.ipynb 3KB pytorch-installation-tips.md 6KB README.md 5KB project-report-assessment.md 2KB openai-discussion-links.md 1KB project-proposal-assessment.md 875B pytorch-lossfunc-cheatsheet.md 425B project-presentation-assessment.md 395B
L02_dl-history_slides.pdf 10.01MB L13_intro-cnn-part2_slides.pdf 4.25MB L14_intro-rnn-part1_slides.pdf 3.5MB L10_regularization_slides.pdf 2.6MB L15_autoencoder_slides.pdf 2.55MB L07_cloud-computing_slides.pdf 2.22MB jupyter.pdf 806KB report.pdf 226KB共 907 条
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