Row 8276

Row ID: 8276 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 8276 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

kinda curious if GPT can do it. Do not trust this, GPT hallucinates all the time.

Thank you for the clarification. Here are the specific values for the 10 red boxes, calculated and rounded to three decimal places:

1. **First Layer Multiplications**: - \(W_{11} \cdot X_1 = 0.200\) - \(W_{21} \cdot X_2 = 0.030\) - \(W_{12} \cdot X_1 = 0.100\) - \(W_{22} \cdot X_2 = 0.240\) - \(W_{13} \cdot X_1 = 0.300\) - \(W_{23} \cdot X_2 = 0.270\)

2. **First Layer Summations**: - \(z_1 = 0.230\) (for \(0.200 + 0.030\)) - \(z_2 = 0.340\) (for \(0.100 + 0.240\)) - \(z_3 = 0.570\) (for \(0.300 + 0.270\))

3. **Hidden Layer Activations**: - \(h_1 = 0.557\) (for \(\sigma(0.230)\)) - \(h_2 = 0.584\) (for \(\sigma(0.340)\)) - \(h_3 = 0.639\) (for \(\sigma(0.570)\))

The corresponding values for each red box (from left to right, top to bottom) are:

1. \(0.200\) 2. \(0.030\) 3. \(0.230\) 4. \(0.100\) 5. \(0.240\) 6. \(0.340\) 7. \(0.300\) 8. \(0.270\) 9. \(0.570\) 10. \(0.710\)

FieldValue
text kinda curious if GPT can do it. Do not trust this, GPT hallucinates all the time. Thank you for the clarification. Here are the specific values for the 10 red boxes, calculated and rounded to three decimal places: 1. **First Layer Multiplications**: - \(W_{11} \cdot X_1 = 0.200\) - \(W_{21} \cdot X_2 = 0.030\) - \(W_{12} \cdot X_1 = 0.100\) - \(W_{22} \cdot X_2 = 0.240\) - \(W_{13} \cdot X_1 = 0.300\) - \(W_{23} \cdot X_2 = 0.270\) 2. **First Layer Summations**: - \(z_1 …
label r/neuralnetworks
dataType comment
communityName r/neuralnetworks
datetime 2024-05-19
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url_encoded Z0FBQUFBQm5Lak9ING1LSDNZSzdPWlZCdjVDUVZSMEkwOUpUaktyVzh4NFhuSE4wYlNFSUdkRFI1MFR4VmQ3LVZlT0h4R1lNRTRQMS1rVEZrNXZJZ1FCMVV0ZV82eHVPUWVpa0JxT1Q3X0s2cjRZemFielUtN1lQcnRtbmZKRTkxb0NLRzloVjMzLWJ4ek9tUWlUR1JnX2JCeEk5RkJfUG1hZ05GQXBuaGlWNHY4UWxVYUR4cjZmdjFUUnFWM0lVc01kSWZyeWdlWEZrWmVqTlBwYmE4X25PV29rUWNqYlNEdz09

Raw Record

{
  "text": "kinda curious if GPT can do it. Do not trust this, GPT hallucinates all the time.\n\n\nThank you for the clarification. Here are the specific values for the 10 red boxes, calculated and rounded to three decimal places:\n\n1. **First Layer Multiplications**:\n   - \\(W_{11} \\cdot X_1 = 0.200\\)\n   - \\(W_{21} \\cdot X_2 = 0.030\\)\n   - \\(W_{12} \\cdot X_1 = 0.100\\)\n   - \\(W_{22} \\cdot X_2 = 0.240\\)\n   - \\(W_{13} \\cdot X_1 = 0.300\\)\n   - \\(W_{23} \\cdot X_2 = 0.270\\)\n\n2. **First Layer Summations**:\n   - \\(z_1 = 0.230\\) (for \\(0.200 + 0.030\\))\n   - \\(z_2 = 0.340\\) (for \\(0.100 + 0.240\\))\n   - \\(z_3 = 0.570\\) (for \\(0.300 + 0.270\\))\n\n3. **Hidden Layer Activations**:\n   - \\(h_1 = 0.557\\) (for \\(\\sigma(0.230)\\))\n   - \\(h_2 = 0.584\\) (for \\(\\sigma(0.340)\\))\n   - \\(h_3 = 0.639\\) (for \\(\\sigma(0.570)\\))\n\nThe corresponding values for each red box (from left to right, top to bottom) are:\n\n1. \\(0.200\\)\n2. \\(0.030\\)\n3. \\(0.230\\)\n4. \\(0.100\\)\n5. \\(0.240\\)\n6. \\(0.340\\)\n7. \\(0.300\\)\n8. \\(0.270\\)\n9. \\(0.570\\)\n10. \\(0.710\\)",
  "label": "r/neuralnetworks",
  "dataType": "comment",
  "communityName": "r/neuralnetworks",
  "datetime": "2024-05-19",
  "username_encoded": "Z0FBQUFBQm5Lakw0ZFIwcmpJRFEtQ3hIblBOcXlrbmRxY2tDTDkyRkhXbHdxdVQ5dlRLTmxoM2ZLWW1ZbkFJX0w4VXp1S1ItVFB5OXlvRGl0bUlSQ08zb1dud041bXhnU3c9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9ING1LSDNZSzdPWlZCdjVDUVZSMEkwOUpUaktyVzh4NFhuSE4wYlNFSUdkRFI1MFR4VmQ3LVZlT0h4R1lNRTRQMS1rVEZrNXZJZ1FCMVV0ZV82eHVPUWVpa0JxT1Q3X0s2cjRZemFielUtN1lQcnRtbmZKRTkxb0NLRzloVjMzLWJ4ek9tUWlUR1JnX2JCeEk5RkJfUG1hZ05GQXBuaGlWNHY4UWxVYUR4cjZmdjFUUnFWM0lVc01kSWZyeWdlWEZrWmVqTlBwYmE4X25PV29rUWNqYlNEdz09"
}
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