Building Your First PyTorch Solution

Building Your First PyTorch Solution ranks 5th in the list of best online PyTorch courses. Because of its flexibility, ease of use, and built-in support for optimized hardware such as GPUs, PyTorch is quickly becoming a popular choice for building deep learning models. PyTorch allows you to build complex deep learning models while retaining Python-native debugging and visualization support. Building Your First PyTorch Solution will teach you how to get up and running quickly by creating your first regression and classification models.

First, you'll learn how to install PyTorch with pip and conda, and then you'll see how to use GPU support. Following that, you'll learn how to hand-craft a linear regression model with a single neuron by defining the loss function yourself. Then you'll see how PyTorch optimizers can be used to make this process much smoother.

You will learn how to add different activation functions and dropout to PyTorch neural networks. Finally, you will learn how to use PyTorch to create classification models. The course will be completed by extending the PyTorch base module to implement a custom classifier. When you finish this course, you will have the skills and knowledge to install PyTorch from scratch in a new environment and build models that leverage and customize various PyTorch abstractions.

The course includes:

• Installing PyTorch on a Local Machine
• Understanding Linear Regression with a Single Neuron
• Building a Regression Model Using PyTorch
• Building a Classification Model Using PyTorch

You can take Building Your First PyTorch Solution certification course on Pluralsight.
Course rating: 4.5 out of 5.0
Duration: 2 h 21 m
Certificate: Certificate on completion

Enroll here: pluralsight.com/courses/building-your-first-pytorch-solution