Row 6468

Row ID: 6468 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 6468 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Hello everyone! My name is Maicon Melo Alves and I'm a High Performance Computing (HPC) system analyst specialized in AI workloads.

I would like to announce that my book "Accelerate Model Training with PyTorch 2.X: Build more accurate models by boosting the model training process" was recently launched by Packt.

This book is for intermediate-level data scientists, engineers, and developers who want to know how to use PyTorch to accelerate the training process of their machine-learning models.

If you think this book can help other professionals, please share this post with your community! 😊

Thank you very much!

FieldValue
text Hello everyone! My name is Maicon Melo Alves and I'm a High Performance Computing (HPC) system analyst specialized in AI workloads. I would like to announce that my book "Accelerate Model Training with PyTorch 2.X: Build more accurate models by boosting the model training process" was recently launched by Packt. This book is for intermediate-level data scientists, engineers, and developers who want to know how to use PyTorch to accelerate the training process of their machine-learning model…
label r/pytorch
dataType post
communityName r/pytorch
datetime 2024-05-10
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Raw Record

{
  "text": "Hello everyone! My name is Maicon Melo Alves and I'm a High Performance Computing (HPC) system analyst specialized in AI workloads.  \n\nI would like to announce that my book \"Accelerate Model Training with PyTorch 2.X: Build more accurate models by boosting the model training process\" was recently launched by Packt. \n\nThis book is for intermediate-level data scientists, engineers, and developers who want to know how to use PyTorch to accelerate the training process of their machine-learning models.\n\nIf you think this book can help other professionals, please share this post with your community! 😊 \n\nThank you very much!",
  "label": "r/pytorch",
  "dataType": "post",
  "communityName": "r/pytorch",
  "datetime": "2024-05-10",
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}
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