backpropagation Examples and Free Source Code

ReLU derivative in backpropagation...

neural-network backpropagation sigmoid relu

Freezing an intermediate layer in Pytorch...

python deep-learning pytorch backpropagation

How does keras handle multiple losses?...

deep-learning keras backpropagation loss-function

Difference between autograd.grad and autograd.backward?...

pytorch gradient gradient-descent backpropagation autograd

Are there alternatives to backpropagation?...

neural-network backpropagation gradient-descent

How can I make a one neuron neural network?...

machine-learning neural-network linear-regression backpropagation one-hot-encoding

small learning rate vs big learning rate...

machine-learning deep-learning backpropagation

Mistmatched kernel and delta kernel shapes in backpropogation of a CNN...

machine-learning deep-learning conv-neural-network backpropagation

Backpropagation on ONNX runtime...

c++backpropagation onnxruntime

How can PyTorch-like automatic differentiation work in Rust, given that it does not allow multiple m...

rust backpropagation automatic-differentiation

How does pytorch backprop through argmax?...

machine-learning cluster-analysis pytorch k-means backpropagation

What is the difference between SGD and back-propagation?...

machine-learning artificial-intelligence gradient-descent backpropagation

How to properly update the weights in PyTorch?...

pytorch backpropagation gradient

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

python pytorch backpropagation autograd relu

In which cases is the cross-entropy preferred over the mean squared error?...

machine-learning neural-network backpropagation mean-square-error cross-entropy

can't find the inplace operation: one of the variables needed for gradient computation has been ...

python pytorch backpropagation

why does my neural network coded from scratch results have such a weird loss trend?...

python neural-network backpropagation cross-entropy mlp

Backpropagation Through Hidden Layers in Neural Network Implementation...

c machine-learning math neural-network backpropagation

Inplace operation error in control problem...

python pytorch backpropagation autograd

How to update weights when using mini batches?...

c neural-network backpropagation mini-batch

Adding numbers using Neural network + back propagation...

python neural-network addition backpropagation

Neural Network Architecture Design...

machine-learning neural-network backpropagation

Pytorch: calculation precision?...

python numpy pytorch backpropagation autograd

What is the role of the bias in neural networks?...

machine-learning neural-network artificial-intelligence backpropagation

Why does my MLP model's loss explode when using softmax and cross entropy in Python?...

numpy machine-learning backpropagation softmax cross-entropy

Training is 500x slower than inference for a custom loss function...

performance optimization julia flux backpropagation

How to get the gradients of network parameters for a derivative-based loss?...

python pytorch gradient backpropagation automatic-differentiation

How to implement the Softmax derivative independently from any loss function?...

neural-network regression backpropagation derivative softmax

How to add leaning late while calculating backward propagation in Pytorch...

machine-learning deep-learning pytorch neural-network backpropagation

will non-trainable layer participate in backpropagation of other layers?...

tensorflow neural-network gradient-descent backpropagation