Difference between revisions of "PyTorch"
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* Installation: <code>[[pip3 install torch torchvision]]</code> | * Installation: <code>[[pip3 install torch torchvision]]</code> | ||
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| + | Building blocks like nn.Conv2d, nn.Linear, nn.ReLU, and nn.MaxPool2d. See: https://docs.pytorch.org/tutorials/beginner/blitz/neural_networks_tutorial.html | ||
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== Related == | == Related == | ||
Latest revision as of 07:56, 11 September 2025
wikipedia:PyTorch (2016) machine learning library
- Installation:
pip3 install torch torchvision
Building blocks like nn.Conv2d, nn.Linear, nn.ReLU, and nn.MaxPool2d. See: https://docs.pytorch.org/tutorials/beginner/blitz/neural_networks_tutorial.html
Related[edit]
- ONNX
- PyTorch distributed, use in Tesla Autopilot
- DNN
- CUDA
- Tinygrad
- FAIR
import torchcross_entropy- MTIA
- The provided PTX was compiled with an unsupported toolchain
See also[edit]
- Machine learning: PyTorch, JAX, TensorFlow, ONNX, TensorRT,
collect_env.py - Machine learning, Deep learning, AWS Sagemaker, PyTorch, Kubeflow, TensorFlow, Keras, Torch, Spark ML, Tinygrad, Apple Neural Engine, Scikit-learn, MNIST, MLOps, AutoML, ClearML, PostgresML, AWS Batch, Transformer, Diffusion, Backpropagation, JAX, Vector database, LLM, The Forrester Wave: AI/ML Platforms, Embeddings, Stochastic gradient descent
- AI: Autonomous driving, OpenAI, Google AI,Eliezer Yudkowsky, DeepMind, Computer Vision, Neural network, Vertex AI, Instadeep, Deep learning, Infogrid, Sapling, AssemblyAI, V7, MTIA, Yann LeCun, AI WiW, Salesforce AI, Pika, Amazon Q, LLM, Ollama, Cloud AI Developer Services, Hugging Face, Databricks, Generative AI, Azure OpenAI, AI token, AI code
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