Row 26960
Content Data
This page contains data entry 26960 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
I posted an earlier post about creating a simple NN: https://old.reddit.com/r/C_Programming/comments/1csjkuz/so_i_created_a_simple_neural_network_in_c/
Now, I've done bug fixing and the code seems to work correctly, as compared to tsoding daily. https://pastebin.com/X5BXz7iX
Here's the sample input and outputs for people to verify:
Sample outputs And gate Number of inputs: 2 rows: 8 Number of outputs: 1 Initial Cost :0.474202 Final Cost :0.000104 ti[0]: 0.000000 ti[1]: 0.000000 NN: 0.000909 ti[2]: 0.000000 ti[3]: 1.000000 NN: 0.010387 ti[4]: 1.000000 ti[5]: 0.000000 NN: 0.010470 ti[6]: 1.000000 ti[7]: 1.000000 NN: 0.985895
Or Gate Number of inputs: 2 rows: 8 Number of outputs: 1 Initial Cost :0.178242 Final Cost :0.000134 ti[0]: 0.000000 ti[1]: 0.000000 NN: 0.017959 ti[2]: 0.000000 ti[3]: 1.000000 NN: 0.990073 ti[4]: 1.000000 ti[5]: 0.000000 NN: 0.989876 ti[6]: 1.000000 ti[7]: 1.000000 NN: 0.996675
Xor Gate Number of inputs: 2 rows: 8 Number of outputs: 1 Initial Cost :0.334069 Final Cost :0.000298 ti[0]: 0.000000 ti[1]: 0.000000 NN: 0.019019 ti[2]: 0.000000 ti[3]: 1.000000 NN: 0.983565 ti[4]: 1.000000 ti[5]: 0.000000 NN: 0.983540 ti[6]: 1.000000 ti[7]: 1.000000 NN: 0.017053
Adder Initial Cost :0.722847 Final Cost :0.001003 ti[0]: 0.000000 ti[1]: 0.000000 NN: 0.000128 0.033483 ti[2]: 0.000000 ti[3]: 1.000000 NN: 0.022985 0.978335 ti[4]: 1.000000 ti[5]: 0.000000 NN: 0.023032 0.978289 ti[6]: 1.000000 ti[7]: 1.000000 NN: 0.970122 0.999995
All feedbacks and suggestions are welcome.
| Field | Value |
|---|---|
| text | I posted an earlier post about creating a simple NN: https://old.reddit.com/r/C_Programming/comments/1csjkuz/so_i_created_a_simple_neural_network_in_c/ Now, I've done bug fixing and the code seems to work correctly, as compared to tsoding daily. https://pastebin.com/X5BXz7iX Here's the sample input and outputs for people to verify: Sample outputs And gate Number of inputs: 2 rows: 8 Number of outputs: 1 Initial Cost :0.474202 Final Cost :0.000104 ti[0]: 0.000000 ti[1]:… |
| label | r/neuralnetworks |
| dataType | post |
| communityName | r/neuralnetworks |
| datetime | 2024-05-21 |
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| url_encoded | Z0FBQUFBQm5Lak9UQ2lBX09WSU1ZWVVGN0dnMjNWSUVQc2ZiUGNQSmFrRERwVElfNmJ0SmY3cVpoZVo4SHlqV0s1Mlg3Z3hXVzdRRUo4bHBuUTFxV3hQWmk2SE9HdFZxeHhzX0V3Q1lZdTJaRXlueFIzeWlvcmoxYUJBUFg0WlJnWDcwdGQ4ZWMxRFFUNnNmMmRJanRuZnhRRm16d25hZ3VLVk1WZE1JU1U1NUZCMWkwMnMwbmRaT1dDVFpncjJyTUNhQVlYQUFHMWxoNFhMdGxvVjFKTWRwTTd6SWpSa3NRUT09 |
Raw Record
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"text": "I posted an earlier post about creating a simple NN: https://old.reddit.com/r/C_Programming/comments/1csjkuz/so_i_created_a_simple_neural_network_in_c/\n\nNow, I've done bug fixing and the code seems to work correctly, as compared to tsoding daily. https://pastebin.com/X5BXz7iX\n\nHere's the sample input and outputs for people to verify:\n\n Sample outputs\n And gate\n Number of inputs: 2 rows: 8 Number of outputs: 1\n Initial Cost :0.474202\n Final Cost :0.000104\n ti[0]: 0.000000 ti[1]: 0.000000 NN: 0.000909\n ti[2]: 0.000000 ti[3]: 1.000000 NN: 0.010387\n ti[4]: 1.000000 ti[5]: 0.000000 NN: 0.010470\n ti[6]: 1.000000 ti[7]: 1.000000 NN: 0.985895\n\n\n\n Or Gate\n Number of inputs: 2 rows: 8 Number of outputs: 1\n Initial Cost :0.178242\n Final Cost :0.000134\n ti[0]: 0.000000 ti[1]: 0.000000 NN: 0.017959\n ti[2]: 0.000000 ti[3]: 1.000000 NN: 0.990073\n ti[4]: 1.000000 ti[5]: 0.000000 NN: 0.989876\n ti[6]: 1.000000 ti[7]: 1.000000 NN: 0.996675\n\n\n Xor Gate\n Number of inputs: 2 rows: 8 Number of outputs: 1\n Initial Cost :0.334069\n Final Cost :0.000298\n ti[0]: 0.000000 ti[1]: 0.000000 NN: 0.019019\n ti[2]: 0.000000 ti[3]: 1.000000 NN: 0.983565\n ti[4]: 1.000000 ti[5]: 0.000000 NN: 0.983540\n ti[6]: 1.000000 ti[7]: 1.000000 NN: 0.017053\n\n\n Adder\n Initial Cost :0.722847\n Final Cost :0.001003\n ti[0]: 0.000000 ti[1]: 0.000000 NN: 0.000128 0.033483\n ti[2]: 0.000000 ti[3]: 1.000000 NN: 0.022985 0.978335\n ti[4]: 1.000000 ti[5]: 0.000000 NN: 0.023032 0.978289\n ti[6]: 1.000000 ti[7]: 1.000000 NN: 0.970122 0.999995\n\nAll feedbacks and suggestions are welcome.",
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"datetime": "2024-05-21",
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}
Entry Information
- Entry ID: 26960
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000