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New posts in backpropagation

Backpropagation algorithm giving bad results

Pytorch Autograd gives different gradients when using .clamp instead of torch.relu

Pytorch: How to create an update rule that doesn't come from derivatives?

Returning mutiple values in the input function for `tf.py_func`

Neural network backpropagation algorithm not working in Python

Does Theano do automatic unfolding for BPTT?

TensorFlow average gradients over several batches

Guided Back-propagation in TensorFlow

In pytorch how do you use add_param_group () with a optimizer?

Neural nets for ruby

Truncated Backpropagation in keras with one sequence per batch

Looping through training data in Neural Networks Backpropagation Algorithm

Can I (selectively) invert Theano gradients during backpropagation?

How does tensorflow handle non differentiable nodes during gradient calculation?

Backpropogation activation derivative

Compute gradients for each time step of tf.while_loop

PyTorch : predict single example

Updating weights in backpropagation algorithm

Neural Network Architecture Design