cs231n:斯坦福大学CS231N'18任务 （186个子文件） 
im2col_cython.c 1.21MB CNN_raw 9KB .gitignore 134B .gitignore 88B .gitignore 88B StyleTransfer-PyTorch-checkpoint.ipynb 2.68MB StyleTransfer-PyTorch.ipynb 2.68MB NetworkVisualization-PyTorch-checkpoint.ipynb 2.47MB NetworkVisualization-PyTorch.ipynb 2.47MB LSTM_Captioning-checkpoint.ipynb 1.69MB LSTM_Captioning.ipynb 1.69MB RNN_Captioning.ipynb 1.54MB RNN_Captioning-checkpoint.ipynb 1.54MB GANs-PyTorch.ipynb 1011KB GANs-PyTorch-checkpoint.ipynb 878KB two_layer_net-checkpoint.ipynb 818KB two_layer_net.ipynb 818KB svm-checkpoint.ipynb 411KB svm.ipynb 411KB BatchNormalization.ipynb 407KB BatchNormalization-checkpoint.ipynb 407KB FullyConnectedNets-checkpoint.ipynb 301KB FullyConnectedNets.ipynb 282KB knn-checkpoint.ipynb 244KB knn.ipynb 244KB ConvolutionalNetworks-checkpoint.ipynb 188KB ConvolutionalNetworks.ipynb 188KB features.ipynb 176KB features-checkpoint.ipynb 176KB Dropout.ipynb 86KB Dropout-checkpoint.ipynb 86KB softmax.ipynb 64KB softmax-checkpoint.ipynb 64KB TensorFlow.ipynb 32KB TensorFlow-checkpoint.ipynb 32KB PyTorch.ipynb 25KB PyTorch-checkpoint.ipynb 25KB CustomNN.ipynb 19KB CustomNN-checkpoint.ipynb 19KB CustomAutograd-checkpoint.ipynb 19KB CustomAutograd.ipynb 19KB ControlFlow.ipynb 19KB ControlFlow-checkpoint.ipynb 19KB Autograd-checkpoint.ipynb 18KB Autograd.ipynb 18KB Tensors.ipynb 18KB Tensors-checkpoint.ipynb 18KB nn-checkpoint.ipynb 18KB nn.ipynb 18KB optim-checkpoint.ipynb 18KB optim.ipynb 18KB StaticGraphs-checkpoint.ipynb 13KB StaticGraphs.ipynb 13KB
muse.jpg 687KB starry_night.jpg 599KB tubingen.jpg 397KB the_scream.jpg 212KB composition_vii.jpg 198KB CNN_time_capsule.jpg 58KB LSTM.jpg 57KB loss_2.jpg 42KB puppy.jpg 37KB loss_1.jpg 32KB CNN_test_time.jpg 31KB CNN_in_out_sync.jpg 26KB kitten.jpg 21KB LSTM_step_back.jpg 14KB Assignment 2 -- BatchNormalization.md 22KB Course Note 4.md 13KB Assignment 3 -- GANs-PyTorch.md 13KB Assignment 3 -- RNN_Captioning.md 11KB Course Note 2.md 10KB Assignment 2 -- ConvolutionalNetworks.md 9KB Course Note 7.md 8KB Assignment 3 -- LSTM_Captioning.md 8KB Course Note 3.md 7KB Course Note 9.md 6KB Assignment 2 -- FullyConnectedNets.md 6KB Course Note 1.md 5KB Course Note 5.md 2KB Course Note 6.md 2KB Assignment 3 -- NetworkVisualization-PyTorch.md 2KB README.md 2KB Lecture 12 -- Visualizing and Understanding.md 2KB Assignment 2 -- Dropout.md 2KB Assignment 3 -- StyleTransfer-PyTorch.md 1KB Lecture 3 -- Loss Functions and Optimization.md 885B Lecture 15 -- Efficient Methods and Hardware for Deep Learning.md 855B Lecture 6 -- Training Neural Networks I.md 827B Lecture 16 -- Adversarial Examples and Adversarial Training.md 546B Lecture 2 -- Image Classification Pipeline.md 482B Lecture 4 -- Introduction to Neural Networks.md 467B Lecture 11 -- Detection and Segmentation.md 456B Lecture 13 -- Generative Models.md 422B Assignment 2 -- TensorFlow.md 408B Lecture 7 -- Training Neural Networks II.md 266B Lecture 5 -- Convolutional Neural Networks.md 244B Lecture 8 -- Deep Learning Software.md 239B Assignment 2 -- PyTorch.md 222B Lecture 9 -- CNN Architectures.md 219B共 186 条
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