There is a way to change manually the weights for the tf.layers.Conv2d (<https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/layers/Conv2D>)? Because this class takes in only the input, the number of kernels to use, etc... and the weights are automatically stored and computed by Tensorflow, but I would a way (like in tf.nn.conv2d - <https://www.tensorflow.org/api_docs/python/tf/nn/conv2d>) to pass directly the weights to the class.

Anyone have a suggestion?

Maybe one could be to load and change manually the value for the variable associate at that layer? I found this solution very bad but it could work.

Thank you.