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This video, Image Classification using CNN,is a project-based video by Simplilearn where you'll get to know how to create machine learning projects in python. In addition, you will also see how different python libraries like NumPy, TensorFlow, seaborn, matplotlib, and many more are used to create amazing projects for your portfolio. Below are the topics we are going to discuss in this machine-learning tutorial.

✅ 00:00 Image Classification using CNN
✅ 01:08 What is Image Classification?
✅ 01:40 What is CNN?
✅ 03:40 Hands-on Lab Demo

What is image classification?

The process of classifying an entire image is known as image classification. Images are anticipated to have just one class per image. Models for image classification take an image as input and produce a prediction of the class to which the image belongs.

We can utilize image classification models when we are not interested in individual instances of items with position information or their shape.

What is CNN?

Machine learning includes convolutional neural networks, also known as convnets or CNNs. It is a subset of the several artificial neural network models that are employed for diverse purposes and data sets. A CNN is a particular type of network design for deep learning algorithms that is utilized for tasks like image recognition and pixel data processing.

Numpy:

NumPy is a Python library used for working with arrays. It also has functions for working in the domain of linear algebra and matrices. It is an open-source project and you can use it freely. NumPy stands for Numerical Python.

Seaborn:

An open-source Python library based on matplotlib is called Seaborn. It is utilized for data exploration and data visualization. With data frames and the Pandas library, Seaborn functions with ease.

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