모두를 위한 딥러닝2

1.Tensor Manipulation1 [01-1]

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2.Tensor Manipulation 2 [01-2]

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3.Linear regression [02]

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4.Multivariable Linear regression [04-1]

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5.Logistic Regression [05]

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6.Softmax Classification [06]

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7.Tips [07-1]

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8.MNIST Introduction [07-2]

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9.Perceptron [08-1]

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10.Multi Layer Perceptron [08-2]

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11.ReLU [09-1]

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12.Weight initialization [09-2]

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13.Dropout [09-3]

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14.Batch Normalization [09-4]

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15.Convolution [10-1]

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16.mnist_cnn [10-2]

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17.visdom[10-3]

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18.Advance CNN(VGG) [10-5]

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19.RNN intro [11-0]

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20.RNN-basics [11-1]

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21.RNN-hihello_and_charseq [11-2]

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22.Long sequence [11-3]

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23. RNN-timeseries [11-4]

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24.RNN-seq2seq [11-5]

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25. PackedSequence [11-6]

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