Create Model

Explore how to create image classification models with PyTorch by learning to instantiate models using the timm library. Understand key parameters such as pretrained weights, dropout rate, and class count to customize models for your dataset.

We'll cover the following...

Introduction to model creation
Import
Instantiate a new model
- Arguments
- Additional keyword arguments

Introduction to model creation

Model creation is the first step in building an image classification model. In this lesson, we’ll learn how to create a new model based on our desired architecture.

Import

Place the following import statement at the top of our file to import the PyTorch Image Model (timm).

import timm

Instantiate a new model

Model instantiation is via the built-in ...

1.Introduction

2.Basic Concepts

3.Augmentation

4.Loss

5.Training

6.Model Conversion

Project

7.Deployment

8.Appendix

9.Conclusion

Create Model

Introduction to model creation

Import

Instantiate a new model