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First issue pytorch #7195

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a34de92
added pytorch as a tag
johnhuango Jul 1, 2025
b919909
added plurality into computations
johnhuango Jul 1, 2025
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1 change: 1 addition & 0 deletions content/pytorch/concepts/tensor-operations/tensor-operations.md
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Expand Up @@ -9,6 +9,7 @@ Tags:
- 'Arrays'
- 'Deep Learning'
- 'TensorFlow'
- 'PyTorch'
CatalogContent:
- 'intro-to-py-torch-and-neural-networks'
- 'py-torch-for-classification'
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2 changes: 1 addition & 1 deletion content/pytorch/pytorch.md
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Expand Up @@ -17,7 +17,7 @@ PyTorch is widely adopted in both academia and industry, competing closely with
| Feature | Description |
| --------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Dynamic Computational Graphs | PyTorch uses dynamic computation graphs, allowing for changes to network architecture during runtime. |
| Tensor Computation | PyTorch offers a comprehensive library for tensor operations, similar to [NumPy](https://www.codecademy.com/resources/docs/numpy), but with GPU acceleration. |
| Tensor Computations | PyTorch offers a comprehensive library for tensor operations, similar to [NumPy](https://www.codecademy.com/resources/docs/numpy), but with GPU acceleration. |
| Deep Learning Support | It includes modules for constructing deep learning models, such as CNNs, RNNs, and transformers. |
| Autograd | PyTorch's automatic differentiation library, Autograd, enables easy computation of gradients, essential for training neural networks. |
| Rich Ecosystem | PyTorch has a thriving ecosystem with numerous libraries and tools, such as TorchVision for computer vision, TorchText for natural language processing, etc. |
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