Neural Network Parameters Calculator
Calculate total parameters, weights, biases, and memory requirements for neural network architectures.
Inputs
Results
Total Parameters
118,282
Memory Required
0.45 MB
Total Weights118,016
Total Biases266
Memory Required0 GB
Total Parameters
118,282
Memory Required
0.45 MB
How to Use This Calculator
- Start by filling in the input fields below. Results update instantly as you type, so you can experiment with different values to see how they affect the outcome.
- Input Neurons — Number of input neurons Accepts values from 1 to 100,000 (default: 784).
- Hidden Layers — Number of hidden layers Accepts values from 0 to 100 (default: 2).
- Neurons per Hidden Layer — Number of neurons in each hidden layer Accepts values from 1 to 100,000 (default: 128).
- Output Neurons — Number of output neurons Accepts values from 1 to 10,000 (default: 10).
- Bias Terms — Whether to include bias terms Choose from: No Bias, With Bias. default: 1.
- Once all inputs are set, review your results in the Results panel. Here's what each output means:
- Total Parameters — shown as a numeric value. This is the primary result of this calculator.
- Memory Required — shown as a numeric value. This is the primary result of this calculator.
- Total Weights — shown as a numeric value.
- Total Biases — shown as a numeric value.
- Memory Required — shown as a numeric value.
- Explore the related calculators below if you need deeper analysis or want to approach this topic from a different angle.
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Formula
Parameters = (Input × Hidden) + (Hidden × Hidden) + (Hidden × Output) + BiasesRelated Calculators
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