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### Implementing forward and backward pass for a 2D convolution in python+numpy
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This contains the code for forward and backward pass, as well as a numerical gradient check.
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The notebook [batch_conv.ipynb](https://github.com/lhk/convolution/blob/master/batch_conv.ipynb) contains the code for forward and backward pass, as well as a numerical gradient check.
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The file [conv_nocolors.ipynb](https://github.com/lhk/convolution/blob/master/conv_nocolors.ipynb) and [conv.ipynb](https://github.com/lhk/convolution/blob/master/conv.ipynb) show early prototypes, without color dimensions and without parallelization across a batch.
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