| 000 | 01174nam a22003017a 4500 | ||
|---|---|---|---|
| 003 | IIITD | ||
| 005 | 20250621020003.0 | ||
| 008 | 250407b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9789358988857 | ||
| 040 | _aIIITD | ||
| 082 |
_a006.32 _bSTA-S |
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| 100 | _aStarmer, Josh | ||
| 245 |
_aThe statQuest illustrated guide to neural networks and AI, with hands-on examples in PyTorch _cby Josh Starmer |
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| 260 |
_aMumbai : _bStatquest Publications, _c©2025 |
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| 300 |
_a363 p. : _bill. ; _c22 cm. |
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| 504 | _aIncludes bibliographical references and index. | ||
| 505 | _t1. Fundamental concepts in neural networks and AI!!! | ||
| 505 | _t2. Optimizing weights and biases with propagation!!! | ||
| 505 | _t3. Networks with multiple inputs and outputs!!! | ||
| 505 | _t4. Simplifying outputs with ArgMax and SoftMax!!! | ||
| 505 | _t5. Speeding up training with cross entropy!!! | ||
| 505 | _t6. Image classification with convulational neural networks!!! | ||
| 505 | _t7. Stock prediction with recurrent neural networks (RNNs)!!! | ||
| 650 | _aComputer Science | ||
| 650 | _aArtificial Intelligence | ||
| 650 | _aNeural Networks | ||
| 942 |
_cBK _2ddc _03 |
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| 999 |
_c189928 _d189928 |
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