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View Code? Open in Web Editor NEWA TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081
A TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081
Hi Senhasinghuania,
Thanks for you work. Have you ever run the code with dataset used in the original paper and replicate the results?
Thanks
Lei
I can not find the weather data and corresponding source codes.
However, the weather data is contained in the original paper.
Hello,
I was using this code as inspiration as I am building my own, to see what functions and keras libraries to use. When multiplying close_output with the weights matrix, you used matmul which is a standard matrix multiplication when the paper used 'Hadamard product (i.e., element-wise multiplication)'.
I believe tf.keras.layers.Multiply should be used intead.
Thank you for providing this code and I hope this helps :)
Thank you.
'outputs' is not used in moduls.py at line 23
# perform a 2D convolution
outputs = tf.layers.conv2d(outputs, filters, kernel_size, strides, padding="SAME", name="conv1", reuse=reuse)
# use layernorm before applying convolution
outputs = tf.contrib.layers.layer_norm(inputs, scope="layernorm2", reuse=reuse)
Should we replace 'inputs' with 'outputs' at line 25?
老师,您好!想请问您一下,关于ST-ResNet网络的论文《Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction》中提到的两个数据集TaxiBJ和BikeNYC在哪里下载?期待您的早日回复,万分感谢!
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