Row 97472

Row ID: 97472 | Dataset Entry | Axioma AXP Content Repository

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Note is a system(library) for deep learning and reinforcement learning. Note makes the building and training of neural networks easy and flexible. Note.nn.layer package contains many layer modules, you can use them to build neural networks. Note’s layer modules are implemented based on TensorFlow, which means they are compatible with TensorFlow’s API. The layer modules allow you to build neural networks in the style of PyTorch or Keras. You can not only use the layer modules to build neural networks trained on Note but also use them to build neural networks trained with TensorFlow. https://github.com/NoteDance/Note

FieldValue
text Note is a system(library) for deep learning and reinforcement learning. Note makes the building and training of neural networks easy and flexible. Note.nn.layer package contains many layer modules, you can use them to build neural networks. Note’s layer modules are implemented based on TensorFlow, which means they are compatible with TensorFlow’s API. The layer modules allow you to build neural networks in the style of PyTorch or Keras. You can not only use the layer modules to build neural netw…
label r/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-05-25
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  "text": "Note is a system(library) for deep learning and reinforcement learning. Note makes the building and training of neural networks easy and flexible. Note.nn.layer package contains many layer modules, you can use them to build neural networks. Note’s layer modules are implemented based on TensorFlow, which means they are compatible with TensorFlow’s API. The layer modules allow you to build neural networks in the style of PyTorch or Keras. You can not only use the layer modules to build neural networks trained on Note but also use them to build neural networks trained with TensorFlow.\nhttps://github.com/NoteDance/Note",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-25",
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Entry Information