lab-01_tensor_manipulation.ipynb
lab-02_linear_regression.ipynb
lab-03_minimizing_cost.ipynb
lab-04_1_multivariable_linear_regression.ipynb
lab-05_logistic_classification.ipynb
lab-06_1_softmax_classification.ipynb
lab-06_2_fancy_softmax_classification.ipynb
lab-07_2_mnist_introduction.ipynb
lab-08_3_xor_nn_wide_deep.ipynb
lab-08_4_mnist_back_prop.ipynb
lab-09_1_mnist_softmax.ipynb
lab-09_3_mnist_nn_xavier.ipynb
lab-09_4_mnist_nn_deep.ipynb
lab-09_5_mnist_nn_dropout.ipynb
lab-09_6_mnist_batchnorm.ipynb
lab-09_7_mnist_nn_selu(wip).ipynb
lab-10_2_mnist_deep_cnn.ipynb
lab-10_3_1_visdom-example.ipynb
lab-10_3_2_MNIST-CNN with Visdom.ipynb
lab-10_4_1_ImageFolder_1.ipynb
lab-10_4_2_ImageFolder_2.ipynb
lab-10_5_1_Advance-cnn(VGG).ipynb
lab-10_5_2_Aadvance-CNN(VGG_cifar10).ipynb
lab-10_6_1_Advance-CNN(Resnet).ipynb
lab-10_6_2_Advance-CNN(ResNet_cifar10).ipynb
lab-11_1_RNN_basics.ipynb
lab-11_4_timeseries.ipynb
lab-11_6_PackedSequence.ipynb
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