Image Recognition Using ML (CNN)

Image Recognition Using ML (CNN)

In this article, we will try to understand how Convolutional Neural Network (a type of Deep Learning algorithm) can be used for image classification. This article is basically designed for beginners or those who are interested in learning Image Recognition and Machine Learning.

Image Recognition, Image Processing, Computer vision are some of the hottest topics in the tech industry these days. There are various inventions that have been developed using these technologies. Out of which, Face Recognition, Gesture Recognition, Driverless-cars, etc, are some of the coolest creations of computer vision and image recognition. And, the core or the foundation of all these creations is “Image Recognition”.

In this article, we will try to understand how Convolutional Neural Network (a type of Deep Learning algorithm) can be used for image classification. This article is basically designed for beginners or those who are interested in learning Image Recognition and Machine Learning. (Again one of the easiest that is out there)

Agenda:

  1. Fashion MNIST (FMNIST) Clothing Classification
  2. Creating a better Dataset
  3. How to Define/Use a Model
  4. Evaluate the Model
  5. Make Predictions

Pre-requisite:

  1. Python 3.6 (preferred 3.6.10)
  2. Tensorflow 2.1.0 and Keras 2.3.1(as we are going to work with Deep Learning models and Keras)
  3. Google Colab/PyCharm/Jupyter Notebook (I prefer Colab because there is free GPU support🤣)

machine-learning image-recognition artificial-intelligence deep-learning python

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