WebOct 17, 2024 · The difference is both variants covers a subset of use cases and the implementation can be different to speed up the calculation. Following is the pseudo code of implementation in MXNet backend following the equation: loss = - mx.sym.sum (y_true * mx.sym.log (y_pred), axis=axis) Both the shape of y_true and y_pred is in (num_samples, … WebNov 22, 2024 · I want to replace mx.symbol.SoftmaxOutput with the weighted version (assign different weight respect to label's frequency in the whole dataset) The original …
mx.symbol.broadcast_add — Apache MXNet …
Webmxnet.symbol Symbol API of MXNet. The SymbolAPI, defined in the symbol(or simply sym) package, provides A symbol represents a multi-output symbolic expression. or a neural … Webadvantage = mx.sym.FullyConnected(data=dense, num_hidden=self.num_actions) mean = mx.sym.mean(advantage, axis=1, keepdims=True) advantage = … the cottage rv trailers
Symbol API — mxnet documentation
WebOct 16, 2024 · For educational purposes I want to have a linear regression example that is using mx.sym.dot(X, w) instead of mx.sym.FullyConnected(X, num_hidden=1), see code example below. Is there a way to do this? I know I can do a similar thing with nd and autograd instead of sym, but then I also have to implement SGD by hand, which is not … Webmx.symbol.broadcast_sub mx.symbol.broadcast_to mx.symbol.expand_dims mx.symbol.repeat mx.symbol.tile mx.symbol.SequenceReverse mx.symbol.SwapAxis mx.symbol.depth_to_space mx.symbol.flip mx.symbol.reverse mx.symbol.shuffle mx.symbol.space_to_depth mx.symbol.swapaxes mx.symbol.transpose … WebDec 31, 2024 · So besically, I would like to use a weighted version of mxnet.symbol.SoftmaxOutput. As a toy example, I used a simplified version of this mnist code. Here is the code that defines the network. import mxnet as mx mnist = mx.test_utils.get_mnist () batch_size = 100 train_iter = mx.io.NDArrayIter (mnist … the cottage rose quilt shop