stanford-tensorflow-tutorials
PyTorchZeroToAll
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| stanford-tensorflow-tutorials | PyTorchZeroToAll | |
|---|---|---|
| 2 | 1 | |
| 9,845 | 3,825 | |
| - | - | |
| 0.0 | 0.0 | |
| over 3 years ago | almost 2 years ago | |
| Python | Python | |
| MIT License | - |
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stanford-tensorflow-tutorials
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Rim Dillon
I’m not sure how to tell you this in a way that won’t deflate your outrage boner, but Stanford uses master in code: https://github.com/chiphuyen/stanford-tensorflow-tutorials
- [D] I'm trying to do more stuff in pure Tensorflow. Is there an in-depth book that explain constructing recurrent, convolutional, graph etc layers in it?
PyTorchZeroToAll
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[D] I'm trying to do more stuff in pure Tensorflow. Is there an in-depth book that explain constructing recurrent, convolutional, graph etc layers in it?
I'm doing this rn, but with PyTorch. I look for notebooks/scripts (https://github.com/hunkim/PyTorchZeroToAll, primarily) on github read and copy them, along with the deeplearning book. Surprisingly pretty much everything just clicks now, it's my third attempt reading the text though. I don't think any book serves the purpose well, except for knowing the well established conventions of the field.
What are some alternatives?
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