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1D Tensors

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Programming

Lessons no : 11

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What will you learn in this course?
  • Master 1D tensor creation, manipulation, and indexing using PyTorch for deep learning applications
  • Implement efficient tensor operations and transformations to optimize neural network workflows
  • Utilize GPU acceleration for 1D tensor computations in PyTorch to enhance machine learning model performance
  • Apply tensor reshaping, slicing, and broadcasting techniques for advanced data preprocessing and model input handling
  • Debug and troubleshoot tensor-related issues in PyTorch to ensure robust deep learning model development
  • Integrate 1D tensor workflows into larger neural network architectures for real-world AI projects
  • Leverage PyTorch's tensor functions to perform mathematical operations essential for machine learning algorithms
  • Develop practical skills in tensor-based data analysis and model training for AI and deep learning tasks

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Lessons | 11


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2 Reviews
Ouijdane Erraji 

It was a pleasure for me to learn deep learning it was a very good course and very helpful to undrstand the basics .I feel privileged to study on MindLuster, a famous platform with good courses . thanks for the opportunity .
2024-08-16

Pavan kumar 

Good
2024-04-29

R.BRIDGET RESHMA 

GOOD AND USEFUL
2024-01-05

arman parnak 

Good,
2023-07-31

ندي نصر البنا 

there was example in every thing
2023-07-13

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PyTorch is an optimized tensor library primarily used for Deep Learning applications using GPUs and CPUs. It is an open-source machine learning library for Python, mainly developed by the Facebook AI Research team. It is one of the widely used Machine learning libraries .