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The Pytorch basics you need to start your ML projects
- Offered byCoursera
The Pytorch basics you need to start your ML projects at Coursera Overview
The Pytorch basics you need to start your ML projects
at Coursera
Duration | 1 hour |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Official Website | Explore Free Course |
Credential | Certificate |
The Pytorch basics you need to start your ML projects at Coursera Highlights
The Pytorch basics you need to start your ML projects
at Coursera
- You will learn what PyTorch is and why we use it.
- Learn how to prepare your ML coding environment.
- Know how to initialize and use Pytorch tensors.
- Know how to use the PyTorch neural network module.
- Know how to use Pytorch optimizers.
- Know the basic ML training loop with PyTorch.
Read more
The Pytorch basics you need to start your ML projects at Coursera Course details
The Pytorch basics you need to start your ML projects
at Coursera
Skills you will learn
What are the course deliverables?
- You will learn how to prepare your ML coding environment.
- You will know how to initialize and use Pytorch tensors.
- You will know how to use the PyTorch neural network module
More about this course
- In this 1-hour long project-based course, you will learn how to use simple commands to create and manipulate files and folders, perform multiple complex tasks using one simple command, use the superuser to perform high privilege operations.
- Learn about -
- Artificial Neural Network
- Pytorch
- Optimizers
- Activation functions
- Virtual Reality
The Pytorch basics you need to start your ML projects at Coursera Curriculum
The Pytorch basics you need to start your ML projects
at Coursera
learn what PyTorch is and why we use it.
Learn how to prepare your ML coding environment.
Know how to initialize and use Pytorch tensors.
Know how to use the PyTorch neural network module.
Know how to use Pytorch optimizers.
Know the basic ML training loop with PyTorch.
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The Pytorch basics you need to start your ML projects
at Coursera