Revision 2f52f2219ffe6776b2c7b9614f9419844fe61045 authored by Bowen Bao on 06 September 2018, 02:22:53 UTC, committed by Bowen Bao on 09 September 2018, 20:41:04 UTC
pad values are explicitly computed based on ONNX spec equations during import in the following cases:
- case 1: when auto_pad is SAME_UPPER | SAME_LOWER for convolution, convolution transpose and pooling.
- case 2: when output_shape is explicitly set for convolution transpose.
	  note: output_shape in ONNX spec can have the two below format:
	  	1. [X1 * X2 * ... * Xn]
		2. [N * O * X1 * X2 * ... * Xn]
1 parent d877233
History
File Mode Size
FunctionalAPI
HelloWorld-LogisticRegression
ImageHandsOn
NumpyInterop
SLUHandsOn
CNTK_101_LogisticRegression.ipynb -rw-r--r-- 91.3 KB
CNTK_102_FeedForward.ipynb -rw-r--r-- 80.4 KB
CNTK_103A_MNIST_DataLoader.ipynb -rw-r--r-- 35.5 KB
CNTK_103B_MNIST_LogisticRegression.ipynb -rw-r--r-- 65.9 KB
CNTK_103C_MNIST_MultiLayerPerceptron.ipynb -rw-r--r-- 66.0 KB
CNTK_103D_MNIST_ConvolutionalNeuralNetwork.ipynb -rw-r--r-- 55.5 KB
CNTK_104_Finance_Timeseries_Basic_with_Pandas_Numpy.ipynb -rw-r--r-- 133.5 KB
CNTK_105_Basic_Autoencoder_for_Dimensionality_Reduction.ipynb -rw-r--r-- 78.0 KB
CNTK_106A_LSTM_Timeseries_with_Simulated_Data.ipynb -rw-r--r-- 181.8 KB
CNTK_106B_LSTM_Timeseries_with_IOT_Data.ipynb -rw-r--r-- 166.3 KB
CNTK_200_GuidedTour.ipynb -rw-r--r-- 67.5 KB
CNTK_201A_CIFAR-10_DataLoader.ipynb -rw-r--r-- 12.9 KB
CNTK_201B_CIFAR-10_ImageHandsOn.ipynb -rw-r--r-- 222.7 KB
CNTK_202_Language_Understanding.ipynb -rw-r--r-- 67.4 KB
CNTK_203_Reinforcement_Learning_Basics.ipynb -rw-r--r-- 166.8 KB
CNTK_204_Sequence_To_Sequence.ipynb -rw-r--r-- 76.4 KB
CNTK_205_Artistic_Style_Transfer.ipynb -rw-r--r-- 500.6 KB
CNTK_206A_Basic_GAN.ipynb -rw-r--r-- 74.5 KB
CNTK_206B_DCGAN.ipynb -rw-r--r-- 134.1 KB
CNTK_206C_WGAN_LSGAN.ipynb -rw-r--r-- 310.0 KB
CNTK_207_Training_with_Sampled_Softmax.ipynb -rw-r--r-- 62.0 KB
CNTK_208_Speech_Connectionist_Temporal_Classification.ipynb -rw-r--r-- 13.1 KB
CNTK_301_Image_Recognition_with_Deep_Transfer_Learning.ipynb -rw-r--r-- 1.4 MB
CNTK_302A_Evaluation_of_Pretrained_Super-resolution_Models.ipynb -rw-r--r-- 32.5 KB
CNTK_302B_Image_Super-resolution_Using_CNNs_and_GANs.ipynb -rw-r--r-- 70.6 KB
CNTK_303_Deep_Structured_Semantic_Modeling_with_LSTM_Networks.ipynb -rw-r--r-- 31.2 KB
CNTK_599A_Sequence_To_Sequence.ipynb -rw-r--r-- 54.0 KB
README.md -rw-r--r-- 1.6 KB

README.md

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