Mastering Image Classification

Image classification is a popular computer vision technique that categorizes images into predefined classes or categories. It has numerous applications, ranging from facial recognition to medical image analysis. Readily available pretrained models and datasets have also contributed to the widespread adoption of image classification, making it a desirable skill in today’s industry. This Skill Path will take you through everything you need to know to employ image classification techniques in your projects. It begins with an introduction to the PyTorch Tensor framework and its basic operations. Next, you will get an overview of the PyTorch Image Model and cover the fundamental machine learning concepts employed in image classification. In the latter half, you will cover how to process raw data images and create convolutional neural networks (CNNs) to classify images. Finally, you will cover Explainable AI frameworks to help understand the internal logic behind the predictions made by a deep learning network.

Mastering Image Classification
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I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.

Clifford Fajardo
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I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.

Clifford Fajardo
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What Our Learners Say

Your method is simple, straight to the point and I can practice with it everywhere, even from my phone, that's something I have never had in other learning platforms.

Felipe Matheus
TestimonialsImg

I highly recommend Educative. The courses are well organized and easy to understand.

Adina Ong
TestimonialsImg

I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.

Clifford Fajardo
TestimonialsImg