title: Converting Keras (Tensorflow) convolutional neural networks to PyTorch convolutional networks?
body: <p>Keras and PyTorch use different arguments for padding: Keras requires a string to be input, while PyTorch works with numbers. What is the difference, and how can one be translated into another (what code gets the equivalent result in either framework)?</p>
  
  <p>PyTorch also takes the args in_channels, out_chanels while keras only takes an argument called filters. What does 'filters' mean?</p>