This blog is a part of series Clean or Messy Classifier . Check out the entire series for detailed implementation of deploying a machine learning classifier into web app using various frameworks.

In this article, We will discuss how two different libraries, namely FastaiV2 and Keras, can be used to train an image classification model.

Fastai V2

Dataset:
To begin with training an ML model, the first step is collecting a Dataset. In this project, we wanted our data as images of both, clean as well as messy surroundings. You can refer to this link for creating a good quality Dataset of images…


This blog is a part of series Clean or Messy Classifier . Check out the entire series for detailed implementation of deploying a machine learning classifier into web app using various frameworks.

As a data scientist if you desire to showcase your work in a web app or a mobile app you will require a back-end server where your model is loaded that can interact with your front-end. This is possible with the help of a REST API. …


This blog is a part of series Clean or Messy Classifier . Check out the entire series for detailed implementation of deploying a machine learning classifier into web app using various frameworks.

Why a web app for machine learning models?

If you have been learning Machine Learning for a while now and have created some really cool models from detecting objects to recognizing voices, then you probably would want to showcase your work and effort. But showing someone your Jupyter Notebook isn’t really what you had in mind. …

Prakharpandey

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