Backpropagation Calculator
Calculate backpropagation computational complexity, memory requirements, and operations for neural networks.
Inputs
Results
Forward Pass Operations
118,016
Backward Pass Operations
236,032
Operations per Batch
11,329,536
Total Memory
0.58 MB
Activation Memory0.13 MB
Gradient Memory0.45 MB
How to Use This Calculator
- Enter the network architecture: number of layers and neurons per layer.
- Input the learning rate and initial weight values.
- Enter the target output and current network output for the training example.
- Review the calculated error, gradients, and updated weight values after one backpropagation pass.
- Iterate until the loss converges to confirm correct gradient flow in your implementation.
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Formula
Backward Ops ≈ 2 × Forward OpsRelated Calculators
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